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Posted to general@incubator.apache.org by Jeff Feng <je...@airbnb.com.INVALID> on 2017/04/01 23:45:11 UTC
[PROPOSAL] Superset Proposal for Apache Incubator
Dear Apache Incubator Community,
We are excited to share our proposal for discussion and feedback for
entering Apache Incubation. Superset is an enterprise-ready web
application for data exploration, data visualization and dashboarding.
Our Incubation proposal is at the following Wiki as well as copied in the
email below:
https://wiki.apache.org/incubator/SupersetProposal
We have an active Superset community including 400+ members and nearly 200
topics. The Google Group can be found below. We plan to move the
discussion to the ASF:
https://groups.google.com/forum/#!forum/airbnb_superset
Thank you and look forward to the discussion!
Jeff, Max & Alanna
= Superset =
== Abstract ==
Superset is an enterprise-ready web application for data exploration, data
visualization and dashboarding.
== Proposal ==
Superset is business intelligence (BI) software that helps modern
organizations visualize and interact with their data. Superset enables
users explore data from a variety of databases, assemble beautiful
dashboards and share their findings. Superset works neatly with all modern
SQL-speaking databases, and integrates with Druid.io to provide real-time,
interactive, blazing fast data access to large datasets.
== Background ==
Data is mission critical. To succeed in this era, organizations need to
provide low-friction, intuitive and interactive access to data. It is
paramount for knowledge workers to be capable of answering their own
questions by querying, exploring and visualizing data.
The entire business intelligence industry has pivoted from a model of
centralized top-down platforms driven by IT organizations to self-service
analytics and agile workflows by any user. This shift unblocks centralized
service bottlenecks for creating data visualizations while also creating an
environment that is iterative and fast-moving. This means that business
intelligence software must also be easy and delightful to use.
Self-service analytics doesn’t mean that admin and governance features are
not needed.
Modern BI tools provide fine-grain access controls and auditing
capabilities to understand how data is being used. Superset is a solution
that delivers on all of these vectors.
The technology stack is also constantly morphing - vendors are struggling
to provide cheap, quick and easy solutions to access data. Business
intelligence users are finding existing solutions lacking as these software
products either disregard or react slowly to recent game-changing
technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
React.js and iPython’s Jupyter for instance.
== Rationale ==
Business intelligence is more relevant today than at any other point in
history. Organizations are currently very limited in options for open
source data visualization solutions, especially solutions that are both
self-service and enterprise-ready. Every company informing their decisions
with data needs a BI tool.
We believe that Superset will be a strong compliment to existing Apache
Software Foundation technologies by offering scalable user interactions to
distributed storage and computation solutions. Users will often find that
Superset can act as a catalyst for tooling that can visualize the byproduct
of data and computation infrastructure.
Superset has many key design elements that help fill a gap in current
solutions for organizations:
* Easy, low friction access to data through a simple, web-based data
exploration interface. Composing charts and dashboards are intuitive.
Eliminating the need to write code or SQL empowers anyone to use it.
* Access to a wide array of rich, interactive data visualization types.
* Enterprise-ready: Integration with different authentication mechanisms
and granular permissions centered around actions and data access.
* Realtime & fast: Superset provides realtime analytics at the speed of
thought on very large datasets when integrated with Druid.io.
* Broad data access: Consume data out of any SQL-speaking relational
database.
* Extensible: Can be extended to talk to many noSQL databases like Apache
Drill, Elastic Search, and other popular database engines.
* Fast loading dashboards with configurable web-scale caching.
* Plug-in framework that enables organizations to build custom analytical
applications with new UI/UX interfaces.
* SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users with
more flexibility. SQL Lab integrates with the visualization engine
seamlessly.
== Initial Goals ==
The initial goals of the Superset project are several-fold:
Move the existing codebase to Apache and integrate with the Apache
development process.
Redesign the user interface and interaction model for creating
visualizations/dashboards and connecting to data sources
Build robust support for security and governance of the tool including
popular authorization modules (including Apache Ranger and Apache Sentry)
and a more sophisticated permissions system
Grow the extensibility of the project both in terms of enhanced
connectivity to NoSQL-based data sources and creating a plug-in framework
that enables organizations to build custom analytical applications which
require a new UI/UX
== Current Status ==
By many standards, Superset is already a successful open source project. As
of March 2017, Superset is officially used in production at about a dozen
companies, has received contributions from over one hundred contributors on
Github, 1500+ forks, and 12k+ stars.
Sizeable companies like Airbnb, Yahoo! and Hortonworks have made
significant contributions, and expressed their commitment to the project.
The product is feature complete and has been viable for months. It already
serves as the main interface for consuming data at many companies of
different sizes.
While the product is usable, there’s room for improvement across the board,
starting with providing a smoother user experience around content creation,
making sure all features work out-of-the-box on more platforms and
databases, providing better user training guides and videos, having a
predictable release process, and increasing the overall quality of the
Superset releases.
=== Meritocracy ===
We plan to invest in supporting a meritocracy. We will discuss the
requirements in an open forum. Several companies have expressed interest in
this project, and we intend to invite additional developers to participate.
We will encourage and monitor community participation so that privileges
can be extended to those that contribute.
=== Community ===
The need for an enterprise-ready data visualization and exploration
platform in the open source community is tremendous. While Superset is
fairly well known, recognized and used within the Druid.io community,
adoption is currently limited outside of that niche. There is a huge
opportunity to grow the community to hundreds if not thousands of
organizations, and we are hoping that embracing “the Apache way” will
accelerate the growth of our community.
We have already been active at seeking and inviting contributions, and are
planning to scale the project by investing time and growing the support
structure to grow the community.
=== Core Developers ===
The initial committers for Superset include experienced full stack,
front-end and data engineers:
* Maxime Beauchemin (Airbnb)
* Alanna Scott (Airbnb)
* Bogdan Kyryliuk (Airbnb)
* Vera Liu (Airbnb)
* Jeff Feng (Airbnb)
* Ashutosh Chauhan (Hortonworks)
* Nishant Bangarwa (Hortonworks)
* Slim Bouguerra (Hortonworks)
* Priyank Shah (Hortonworks)
* Sriharsha Chintalapani (Hortonworks)
* Daniel Dai (Hortonworks)
We realize that additional employer diversity is needed, and we will work
aggressively to recruit developers from additional companies.
=== Alignment ===
The initial committers strongly believe that a system for interactive
visualization of data will gain broader adoption as an open source,
community driven project, where the community can contribute not only to
the core components, but also to a growing collection of connectors,
visualizations and improving integration a all potential data sources.
Superset already integrates closely with Apache Hive, the Hive metastore,
as well as most SQL-speaking databases found in modern data ecosystems.
== Known Risks ==
=== Orphaned Products ===
Superset is a vital component for both visualizing, accessing and
democratizing data at Airbnb. Also at Hortonworks, Superset is a core
component of the DataFlow product offering. Thus, the risk of the project
being orphaned is relatively low. The project could be at risk if Airbnb
changes their approach for democratizing data or if Hortonworks changes
their strategy in the market. In such an event, the committers plan to
continue working on the project on their own time, thought the progress
will likely be slower. We plan to mitigate this risk by recruiting
additional committers.
=== Inexperience with Open Source ===
The initial committers include veteran Apache members (committers and PMC
members) and other developers who have varying degrees of experience with
open source projects. All have been involved with source code that has been
released under an open source license, and several also have experience
developing code with an open source development process.
=== Homogenous Developers ===
The initial committers are employed by Airbnb Inc., and Hortonworks. We are
committed to recruiting additional committers from other companies.
=== Reliance on Salaried Developers ===
It is expected that Superset development will occur on both salaried time
and on volunteer time, after hours. The majority of initial committers are
paid by their employer to contribute to this project. However, they are all
passionate about the project, and we are confident that the project will
continue even if no salaried developers contribute to the project. We are
committed to recruiting additional committers including non-salaried
developers.
=== Relationships with Other Apache Products ===
To the knowledge of the Initial Committers, there are no direct competitors
to Superset within the Apache Software Foundation. That said, Apache
Zeppelin is an indirect competitor, but it solves a different use case.
Apache Zeppelin is a web-based notebook that enables interactive data
analytics. It enables the creation of beautiful data-driven, interactive
and collaborative documents with SQL, Scala and more. Although a user can
create data visualizations using this project, it leverages a notebook
style user interfaces and it is geared towards the Spark community where
Scala and SQL co-exist
We look forward to collaborating with those communities, as well as other
Apache communities.
=== An Excessive Fascination with the Apache Brand ===
Superset is solving two huge challenges:
The challenge of enabling every knowledge worker to make data informed
decisions, particularly those who are not deeply skilled at writing SQL.
The challenge of visualizing huge amounts of data interactively and in
real-time
Superset was first developed as a data visualization solution for Druid.io
as a way to visualize billions of rows of data. Since then, usage of
Superset has expanded to address data visualization use cases across SQL
speaking data sources as well.
Our rationale for developing Superset as an Apache project is detailed in
the Rationale Section. We believe that the Apache brand and community
process will help us attract more contributors to this project, and help
grow the footprint of the project through usage at other organizations and
within other applications. Establishing consensus among users and
developers will result in a more valuable tool for everyone.
== Documentation ==
References to further reading material:
* [[http://airbnb.io/superset/|Superset Documentation]]
* [[https://medium.com/airbnb-engineering/caravel-airbnb-s-dat
a-exploration-platform-15a72aa610e5#.npqmmbu25|Blog Post: Superset:
Airbnb’s Data Exploration Platform]]
* [[https://medium.com/airbnb-engineering/superset-scaling-dat
a-access-and-visual-insights-at-airbnb-3ce3e9b88a7f#.a505zvb1t|Blog Post:
Superset: Scaling Data Access & Visual Insights at Airbnb]]
== Initial Source ==
The origin of the proposed code base can be found at
https://github.com/airbnb/superset. The code base is primarily in Python.
== Source and Intellectual Property Submission Plan ==
We do not expect any complications for the submission of the Superset code
base. Our code is already in Github and there is only a single code base.
== External Dependencies ==
List of Python packages, from the Python Package Index (Pypi):
* boto3
* celery
* cryptography
* flask-appbuilder
* flask-cache
* flask-migrate
* flask-script
* flask-sqlalchemy
* flask-testing
* humanize
* gunicorn
* markdown
* pandas
* parsedatetime
* pydruid
* PyHive
* python-dateutil
* requests
* simplejson
* six
* sqlalchemy
* sqlalchemy-utils
* sqlparse
* thrift
* thrift-sasl
* werkzeug
List of Javascript packages, from NPM:
* autobind-decorator
* bootstrap
* bootstrap-datepicker
* brace
* brfs
* cal-heatmap
* classnames
* d3
* d3-cloud
* d3-sankey
* d3-scale
* d3-tip
* datamaps
* datatables-bootstrap3-plugin
* datatables.net-bs
* font-awesome
* gridster
* immutability-helper
* immutable
* jquery
* lodash.throttle
* mapbox-gl
* moment
* moments
* mustache
* nvd3
* react
* react-ace
* react-bootstrap
* react-bootstrap-table
* react-dom
* react-draggable
* react-gravatar
* react-grid-layout
* react-map-gl
* react-redux
* react-resizable
* react-select
* react-syntax-highlighter
* reactable
* redux
* redux-localstorage
* redux-thunk
* shortid
* style-loader
* supercluster
* topojson
* victory
* viewport-mercator-project
== Cryptography ==
The proposal does not include cryptographic code.
== Required Resources ==
=== Mailing List ===
There is a current mailing list as a Google Group “airbnb_superset” that we
are planning on deprecating as the Apache.org become ready to serve our
community.
* superset-private
* superset-dev
* superset-user
=== Subversion Directory ===
Git is the preferred source control system. http://svn.apache.org/repos/as
f/incubator/superset
== Git Repository ==
Git is the preferred source control system, we’re assuming
https://github.com/apache/incubator-superset based on the naming scheme
== Issue Tracking ==
JIRA Superset (SUPERSET). If possible, we’d like to use Github issues & PRs
to manage our project as much as possible. It’s been said that there are
ways to keep Github’s issues in sync with Jira, allowing us to get best of
both worlds. If that is not possible, we will comply to using Jira.
== Other Resources ==
We currently use a set of Github integrated services that are free to the
open source community, like Travis-ci, Code Climate, Coveralls,
Landscape.io, Requires.io, david-dm and Gitter. We would like to keep using
these services as they allow us to scale contributions and optimize our
development flows. These services require some elevated rights on the
Github repository in order to set up or tune and we would like for the
committers to have the required rights.
== Initial Committers ==
* Maxime Beauchemin <ma...@airbnb.com> - PMC & Committer
* Alanna Scott <al...@airbnb.com> - PMC & Committer
* Bogdan Kyryliuk <b....@gmail.com> - PMC & Committer
* Vera Liu <ve...@airbnb.com> - Committer
* Jeff Feng <je...@airbnb.com> - PMC & Committer
* Ashutosh Chauhan <ha...@apache.org> - Mentor & Committer
* Nishant Bangarwa <nb...@hortonworks.com> - PMC & Committer
* Slim Bouguerra <sb...@hortonworks.com> - Committer
* Priyank Shah <ps...@hortonworks.com> - Committer
* Harsha Chintalapani <sc...@hortonworks.com> - Committer
* Daniel Dai <da...@apache.org> - Champion & Committer
== Affiliations ==
The initial committers are employees of Airbnb Inc. and Hortonworks.
== Sponsors ==
=== Champion ===
Daniel Dai <da...@apache.org>
=== Nominated Mentors ===
Ashutosh Chauhan <ha...@apache.org>
=== Sponsoring Entity ===
Incubator PMC
--
*Jeff Feng*
Product Manager
m: (949)-610-5108 <(949)%20610-5108>
twitter: @jtfeng
Re: [PROPOSAL] Superset Proposal for Apache Incubator
Posted by Jean-Baptiste Onofré <jb...@nanthrax.net>.
Not a big deal for PPMC vs PMC, just to let you know.
Thanks
Regards
JB
On 04/13/2017 06:59 PM, Maxime Beauchemin wrote:
> Hi Jean-Baptiste,
>
> We are indeed looking for more mentors.
>
> Should I update the wiki and replace all references to PMC by PPMC?
>
> Thanks,
>
> Max
>
> On Wed, Apr 12, 2017 at 12:51 PM, Jean-Baptiste Onofr� <jb...@nanthrax.net>
> wrote:
>
>> Hi Maxime,
>>
>> The proposal looks interesting.
>>
>> Just a note, it's PPMC (not PMC) during incubation.
>>
>> Are you seeking for other mentor (I see you only have one mentor and one
>> champion for now) ?
>>
>> Regards
>> JB
>>
>>
>> On 04/12/2017 09:41 PM, Maxime Beauchemin wrote:
>>
>>> Hi all,
>>>
>>> We would love feedback on the proposal. Do the veterans on this mailing
>>> list think that the proposal is ready for a vote!?
>>>
>>> Thanks,
>>>
>>> Max
>>>
>>> On Tue, Apr 4, 2017 at 5:26 PM, Luke Han <lu...@gmail.com> wrote:
>>>
>>> Hi Jeff,
>>>> This is great project which have been mentioned many times in
>>>> community. It looks cool and fun for data works.
>>>>
>>>> Thanks to proposal Superset to be Apache Incubator Project, please
>>>> let
>>>> me know if there's anything I could help.
>>>>
>>>> Thanks.
>>>> Luke
>>>>
>>>>
>>>> Best Regards!
>>>> ---------------------
>>>>
>>>> Luke Han
>>>>
>>>> On Sun, Apr 2, 2017 at 7:45 AM, Jeff Feng <je...@airbnb.com.invalid>
>>>> wrote:
>>>>
>>>> Dear Apache Incubator Community,
>>>>>
>>>>> We are excited to share our proposal for discussion and feedback for
>>>>> entering Apache Incubation. Superset is an enterprise-ready web
>>>>> application for data exploration, data visualization and dashboarding.
>>>>>
>>>>> Our Incubation proposal is at the following Wiki as well as copied in
>>>>> the
>>>>> email below:
>>>>>
>>>>> https://wiki.apache.org/incubator/SupersetProposal
>>>>>
>>>>> We have an active Superset community including 400+ members and nearly
>>>>>
>>>> 200
>>>>
>>>>> topics. The Google Group can be found below. We plan to move the
>>>>> discussion to the ASF:
>>>>>
>>>>> https://groups.google.com/forum/#!forum/airbnb_superset
>>>>>
>>>>> Thank you and look forward to the discussion!
>>>>>
>>>>> Jeff, Max & Alanna
>>>>>
>>>>>
>>>>>
>>>>>
>>>>> = Superset =
>>>>>
>>>>> == Abstract ==
>>>>>
>>>>> Superset is an enterprise-ready web application for data exploration,
>>>>>
>>>> data
>>>>
>>>>> visualization and dashboarding.
>>>>>
>>>>> == Proposal ==
>>>>>
>>>>> Superset is business intelligence (BI) software that helps modern
>>>>> organizations visualize and interact with their data. Superset enables
>>>>> users explore data from a variety of databases, assemble beautiful
>>>>> dashboards and share their findings. Superset works neatly with all
>>>>>
>>>> modern
>>>>
>>>>> SQL-speaking databases, and integrates with Druid.io to provide
>>>>>
>>>> real-time,
>>>>
>>>>> interactive, blazing fast data access to large datasets.
>>>>>
>>>>> == Background ==
>>>>>
>>>>> Data is mission critical. To succeed in this era, organizations need to
>>>>> provide low-friction, intuitive and interactive access to data. It is
>>>>> paramount for knowledge workers to be capable of answering their own
>>>>> questions by querying, exploring and visualizing data.
>>>>>
>>>>> The entire business intelligence industry has pivoted from a model of
>>>>> centralized top-down platforms driven by IT organizations to
>>>>> self-service
>>>>> analytics and agile workflows by any user. This shift unblocks
>>>>>
>>>> centralized
>>>>
>>>>> service bottlenecks for creating data visualizations while also creating
>>>>>
>>>> an
>>>>
>>>>> environment that is iterative and fast-moving. This means that business
>>>>> intelligence software must also be easy and delightful to use.
>>>>> Self-service analytics doesn\u2019t mean that admin and governance features
>>>>>
>>>> are
>>>>
>>>>> not needed.
>>>>>
>>>>> Modern BI tools provide fine-grain access controls and auditing
>>>>> capabilities to understand how data is being used. Superset is a
>>>>>
>>>> solution
>>>>
>>>>> that delivers on all of these vectors.
>>>>>
>>>>> The technology stack is also constantly morphing - vendors are
>>>>> struggling
>>>>> to provide cheap, quick and easy solutions to access data. Business
>>>>> intelligence users are finding existing solutions lacking as these
>>>>>
>>>> software
>>>>
>>>>> products either disregard or react slowly to recent game-changing
>>>>> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
>>>>> React.js and iPython\u2019s Jupyter for instance.
>>>>>
>>>>> == Rationale ==
>>>>>
>>>>> Business intelligence is more relevant today than at any other point in
>>>>> history. Organizations are currently very limited in options for open
>>>>> source data visualization solutions, especially solutions that are both
>>>>> self-service and enterprise-ready. Every company informing their
>>>>>
>>>> decisions
>>>>
>>>>> with data needs a BI tool.
>>>>>
>>>>> We believe that Superset will be a strong compliment to existing Apache
>>>>> Software Foundation technologies by offering scalable user interactions
>>>>>
>>>> to
>>>>
>>>>> distributed storage and computation solutions. Users will often find
>>>>>
>>>> that
>>>>
>>>>> Superset can act as a catalyst for tooling that can visualize the
>>>>>
>>>> byproduct
>>>>
>>>>> of data and computation infrastructure.
>>>>>
>>>>> Superset has many key design elements that help fill a gap in current
>>>>> solutions for organizations:
>>>>>
>>>>> * Easy, low friction access to data through a simple, web-based data
>>>>> exploration interface. Composing charts and dashboards are intuitive.
>>>>> Eliminating the need to write code or SQL empowers anyone to use it.
>>>>>
>>>>> * Access to a wide array of rich, interactive data visualization types.
>>>>>
>>>>> * Enterprise-ready: Integration with different authentication mechanisms
>>>>> and granular permissions centered around actions and data access.
>>>>>
>>>>> * Realtime & fast: Superset provides realtime analytics at the speed of
>>>>> thought on very large datasets when integrated with Druid.io.
>>>>>
>>>>> * Broad data access: Consume data out of any SQL-speaking relational
>>>>> database.
>>>>>
>>>>> * Extensible: Can be extended to talk to many noSQL databases like
>>>>> Apache
>>>>> Drill, Elastic Search, and other popular database engines.
>>>>>
>>>>> * Fast loading dashboards with configurable web-scale caching.
>>>>>
>>>>> * Plug-in framework that enables organizations to build custom
>>>>> analytical
>>>>> applications with new UI/UX interfaces.
>>>>>
>>>>> * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users
>>>>>
>>>> with
>>>>
>>>>> more flexibility. SQL Lab integrates with the visualization engine
>>>>> seamlessly.
>>>>>
>>>>> == Initial Goals ==
>>>>>
>>>>> The initial goals of the Superset project are several-fold:
>>>>>
>>>>> Move the existing codebase to Apache and integrate with the Apache
>>>>> development process.
>>>>>
>>>>> Redesign the user interface and interaction model for creating
>>>>> visualizations/dashboards and connecting to data sources
>>>>>
>>>>> Build robust support for security and governance of the tool including
>>>>> popular authorization modules (including Apache Ranger and Apache
>>>>> Sentry)
>>>>> and a more sophisticated permissions system
>>>>>
>>>>> Grow the extensibility of the project both in terms of enhanced
>>>>> connectivity to NoSQL-based data sources and creating a plug-in
>>>>> framework
>>>>> that enables organizations to build custom analytical applications which
>>>>> require a new UI/UX
>>>>>
>>>>> == Current Status ==
>>>>>
>>>>> By many standards, Superset is already a successful open source project.
>>>>>
>>>> As
>>>>
>>>>> of March 2017, Superset is officially used in production at about a
>>>>> dozen
>>>>> companies, has received contributions from over one hundred contributors
>>>>>
>>>> on
>>>>
>>>>> Github, 1500+ forks, and 12k+ stars.
>>>>>
>>>>> Sizeable companies like Airbnb, Yahoo! and Hortonworks have made
>>>>> significant contributions, and expressed their commitment to the
>>>>> project.
>>>>> The product is feature complete and has been viable for months. It
>>>>>
>>>> already
>>>>
>>>>> serves as the main interface for consuming data at many companies of
>>>>> different sizes.
>>>>>
>>>>> While the product is usable, there\u2019s room for improvement across the
>>>>>
>>>> board,
>>>>
>>>>> starting with providing a smoother user experience around content
>>>>>
>>>> creation,
>>>>
>>>>> making sure all features work out-of-the-box on more platforms and
>>>>> databases, providing better user training guides and videos, having a
>>>>> predictable release process, and increasing the overall quality of the
>>>>> Superset releases.
>>>>>
>>>>> === Meritocracy ===
>>>>>
>>>>> We plan to invest in supporting a meritocracy. We will discuss the
>>>>> requirements in an open forum. Several companies have expressed interest
>>>>>
>>>> in
>>>>
>>>>> this project, and we intend to invite additional developers to
>>>>>
>>>> participate.
>>>>
>>>>> We will encourage and monitor community participation so that privileges
>>>>> can be extended to those that contribute.
>>>>>
>>>>> === Community ===
>>>>>
>>>>> The need for an enterprise-ready data visualization and exploration
>>>>> platform in the open source community is tremendous. While Superset is
>>>>> fairly well known, recognized and used within the Druid.io community,
>>>>> adoption is currently limited outside of that niche. There is a huge
>>>>> opportunity to grow the community to hundreds if not thousands of
>>>>> organizations, and we are hoping that embracing \u201cthe Apache way\u201d will
>>>>> accelerate the growth of our community.
>>>>>
>>>>> We have already been active at seeking and inviting contributions, and
>>>>>
>>>> are
>>>>
>>>>> planning to scale the project by investing time and growing the support
>>>>> structure to grow the community.
>>>>>
>>>>> === Core Developers ===
>>>>>
>>>>> The initial committers for Superset include experienced full stack,
>>>>> front-end and data engineers:
>>>>>
>>>>> * Maxime Beauchemin (Airbnb)
>>>>>
>>>>> * Alanna Scott (Airbnb)
>>>>>
>>>>> * Bogdan Kyryliuk (Airbnb)
>>>>>
>>>>> * Vera Liu (Airbnb)
>>>>>
>>>>> * Jeff Feng (Airbnb)
>>>>>
>>>>> * Ashutosh Chauhan (Hortonworks)
>>>>>
>>>>> * Nishant Bangarwa (Hortonworks)
>>>>>
>>>>> * Slim Bouguerra (Hortonworks)
>>>>>
>>>>> * Priyank Shah (Hortonworks)
>>>>>
>>>>> * Sriharsha Chintalapani (Hortonworks)
>>>>>
>>>>> * Daniel Dai (Hortonworks)
>>>>>
>>>>> We realize that additional employer diversity is needed, and we will
>>>>> work
>>>>> aggressively to recruit developers from additional companies.
>>>>>
>>>>> === Alignment ===
>>>>>
>>>>> The initial committers strongly believe that a system for interactive
>>>>> visualization of data will gain broader adoption as an open source,
>>>>> community driven project, where the community can contribute not only to
>>>>> the core components, but also to a growing collection of connectors,
>>>>> visualizations and improving integration a all potential data sources.
>>>>> Superset already integrates closely with Apache Hive, the Hive
>>>>> metastore,
>>>>> as well as most SQL-speaking databases found in modern data ecosystems.
>>>>>
>>>>> == Known Risks ==
>>>>>
>>>>> === Orphaned Products ===
>>>>>
>>>>> Superset is a vital component for both visualizing, accessing and
>>>>> democratizing data at Airbnb. Also at Hortonworks, Superset is a core
>>>>> component of the DataFlow product offering. Thus, the risk of the
>>>>>
>>>> project
>>>>
>>>>> being orphaned is relatively low. The project could be at risk if
>>>>> Airbnb
>>>>> changes their approach for democratizing data or if Hortonworks changes
>>>>> their strategy in the market. In such an event, the committers plan to
>>>>> continue working on the project on their own time, thought the progress
>>>>> will likely be slower. We plan to mitigate this risk by recruiting
>>>>> additional committers.
>>>>>
>>>>> === Inexperience with Open Source ===
>>>>>
>>>>> The initial committers include veteran Apache members (committers and
>>>>> PMC
>>>>> members) and other developers who have varying degrees of experience
>>>>> with
>>>>> open source projects. All have been involved with source code that has
>>>>>
>>>> been
>>>>
>>>>> released under an open source license, and several also have experience
>>>>> developing code with an open source development process.
>>>>>
>>>>> === Homogenous Developers ===
>>>>>
>>>>> The initial committers are employed by Airbnb Inc., and Hortonworks. We
>>>>>
>>>> are
>>>>
>>>>> committed to recruiting additional committers from other companies.
>>>>>
>>>>> === Reliance on Salaried Developers ===
>>>>>
>>>>> It is expected that Superset development will occur on both salaried
>>>>> time
>>>>> and on volunteer time, after hours. The majority of initial committers
>>>>>
>>>> are
>>>>
>>>>> paid by their employer to contribute to this project. However, they are
>>>>>
>>>> all
>>>>
>>>>> passionate about the project, and we are confident that the project will
>>>>> continue even if no salaried developers contribute to the project. We
>>>>> are
>>>>> committed to recruiting additional committers including non-salaried
>>>>> developers.
>>>>>
>>>>> === Relationships with Other Apache Products ===
>>>>>
>>>>> To the knowledge of the Initial Committers, there are no direct
>>>>>
>>>> competitors
>>>>
>>>>> to Superset within the Apache Software Foundation. That said, Apache
>>>>> Zeppelin is an indirect competitor, but it solves a different use case.
>>>>>
>>>>> Apache Zeppelin is a web-based notebook that enables interactive data
>>>>> analytics. It enables the creation of beautiful data-driven, interactive
>>>>> and collaborative documents with SQL, Scala and more. Although a user
>>>>>
>>>> can
>>>>
>>>>> create data visualizations using this project, it leverages a notebook
>>>>> style user interfaces and it is geared towards the Spark community where
>>>>> Scala and SQL co-exist
>>>>>
>>>>> We look forward to collaborating with those communities, as well as
>>>>> other
>>>>> Apache communities.
>>>>>
>>>>> === An Excessive Fascination with the Apache Brand ===
>>>>>
>>>>> Superset is solving two huge challenges:
>>>>>
>>>>> The challenge of enabling every knowledge worker to make data informed
>>>>> decisions, particularly those who are not deeply skilled at writing SQL.
>>>>>
>>>>> The challenge of visualizing huge amounts of data interactively and in
>>>>> real-time
>>>>>
>>>>> Superset was first developed as a data visualization solution for
>>>>>
>>>> Druid.io
>>>>
>>>>> as a way to visualize billions of rows of data. Since then, usage of
>>>>> Superset has expanded to address data visualization use cases across SQL
>>>>> speaking data sources as well.
>>>>>
>>>>> Our rationale for developing Superset as an Apache project is detailed
>>>>> in
>>>>> the Rationale Section. We believe that the Apache brand and community
>>>>> process will help us attract more contributors to this project, and help
>>>>> grow the footprint of the project through usage at other organizations
>>>>>
>>>> and
>>>>
>>>>> within other applications. Establishing consensus among users and
>>>>> developers will result in a more valuable tool for everyone.
>>>>>
>>>>> == Documentation ==
>>>>>
>>>>> References to further reading material:
>>>>>
>>>>> * [[http://airbnb.io/superset/|Superset Documentation]]
>>>>>
>>>>> * [[https://medium.com/airbnb-engineering/caravel-airbnb-s-dat
>>>>> a-exploration-platform-15a72aa610e5#.npqmmbu25|Blog Post: Superset:
>>>>> Airbnb\u2019s Data Exploration Platform]]
>>>>>
>>>>> * [[https://medium.com/airbnb-engineering/superset-scaling-dat
>>>>> a-access-and-visual-insights-at-airbnb-3ce3e9b88a7f#.a505zvb1t|Blog
>>>>>
>>>> Post:
>>>>
>>>>> Superset: Scaling Data Access & Visual Insights at Airbnb]]
>>>>>
>>>>> == Initial Source ==
>>>>>
>>>>> The origin of the proposed code base can be found at
>>>>> https://github.com/airbnb/superset. The code base is primarily in
>>>>>
>>>> Python.
>>>>
>>>>>
>>>>> == Source and Intellectual Property Submission Plan ==
>>>>>
>>>>> We do not expect any complications for the submission of the Superset
>>>>>
>>>> code
>>>>
>>>>> base. Our code is already in Github and there is only a single code
>>>>>
>>>> base.
>>>>
>>>>>
>>>>> == External Dependencies ==
>>>>>
>>>>> List of Python packages, from the Python Package Index (Pypi):
>>>>>
>>>>> * boto3
>>>>>
>>>>> * celery
>>>>>
>>>>> * cryptography
>>>>>
>>>>> * flask-appbuilder
>>>>>
>>>>> * flask-cache
>>>>>
>>>>> * flask-migrate
>>>>>
>>>>> * flask-script
>>>>>
>>>>> * flask-sqlalchemy
>>>>>
>>>>> * flask-testing
>>>>>
>>>>> * humanize
>>>>>
>>>>> * gunicorn
>>>>>
>>>>> * markdown
>>>>>
>>>>> * pandas
>>>>>
>>>>> * parsedatetime
>>>>>
>>>>> * pydruid
>>>>>
>>>>> * PyHive
>>>>>
>>>>> * python-dateutil
>>>>>
>>>>> * requests
>>>>>
>>>>> * simplejson
>>>>>
>>>>> * six
>>>>>
>>>>> * sqlalchemy
>>>>>
>>>>> * sqlalchemy-utils
>>>>>
>>>>> * sqlparse
>>>>>
>>>>> * thrift
>>>>>
>>>>> * thrift-sasl
>>>>>
>>>>> * werkzeug
>>>>>
>>>>> List of Javascript packages, from NPM:
>>>>>
>>>>> * autobind-decorator
>>>>>
>>>>> * bootstrap
>>>>>
>>>>> * bootstrap-datepicker
>>>>>
>>>>> * brace
>>>>>
>>>>> * brfs
>>>>>
>>>>> * cal-heatmap
>>>>>
>>>>> * classnames
>>>>>
>>>>> * d3
>>>>>
>>>>> * d3-cloud
>>>>>
>>>>> * d3-sankey
>>>>>
>>>>> * d3-scale
>>>>>
>>>>> * d3-tip
>>>>>
>>>>> * datamaps
>>>>>
>>>>> * datatables-bootstrap3-plugin
>>>>>
>>>>> * datatables.net-bs
>>>>>
>>>>> * font-awesome
>>>>>
>>>>> * gridster
>>>>>
>>>>> * immutability-helper
>>>>>
>>>>> * immutable
>>>>>
>>>>> * jquery
>>>>>
>>>>> * lodash.throttle
>>>>>
>>>>> * mapbox-gl
>>>>>
>>>>> * moment
>>>>>
>>>>> * moments
>>>>>
>>>>> * mustache
>>>>>
>>>>> * nvd3
>>>>>
>>>>> * react
>>>>>
>>>>> * react-ace
>>>>>
>>>>> * react-bootstrap
>>>>>
>>>>> * react-bootstrap-table
>>>>>
>>>>> * react-dom
>>>>>
>>>>> * react-draggable
>>>>>
>>>>> * react-gravatar
>>>>>
>>>>> * react-grid-layout
>>>>>
>>>>> * react-map-gl
>>>>>
>>>>> * react-redux
>>>>>
>>>>> * react-resizable
>>>>>
>>>>> * react-select
>>>>>
>>>>> * react-syntax-highlighter
>>>>>
>>>>> * reactable
>>>>>
>>>>> * redux
>>>>>
>>>>> * redux-localstorage
>>>>>
>>>>> * redux-thunk
>>>>>
>>>>> * shortid
>>>>>
>>>>> * style-loader
>>>>>
>>>>> * supercluster
>>>>>
>>>>> * topojson
>>>>>
>>>>> * victory
>>>>>
>>>>> * viewport-mercator-project
>>>>>
>>>>> == Cryptography ==
>>>>>
>>>>> The proposal does not include cryptographic code.
>>>>>
>>>>> == Required Resources ==
>>>>>
>>>>> === Mailing List ===
>>>>>
>>>>> There is a current mailing list as a Google Group \u201cairbnb_superset\u201d that
>>>>>
>>>> we
>>>>
>>>>> are planning on deprecating as the Apache.org become ready to serve our
>>>>> community.
>>>>>
>>>>> * superset-private
>>>>>
>>>>> * superset-dev
>>>>>
>>>>> * superset-user
>>>>>
>>>>> === Subversion Directory ===
>>>>>
>>>>> Git is the preferred source control system.
>>>>>
>>>> http://svn.apache.org/repos/as
>>>>
>>>>> f/incubator/superset
>>>>>
>>>>> == Git Repository ==
>>>>>
>>>>> Git is the preferred source control system, we\u2019re assuming
>>>>> https://github.com/apache/incubator-superset based on the naming scheme
>>>>>
>>>>> == Issue Tracking ==
>>>>>
>>>>> JIRA Superset (SUPERSET). If possible, we\u2019d like to use Github issues &
>>>>>
>>>> PRs
>>>>
>>>>> to manage our project as much as possible. It\u2019s been said that there are
>>>>> ways to keep Github\u2019s issues in sync with Jira, allowing us to get best
>>>>>
>>>> of
>>>>
>>>>> both worlds. If that is not possible, we will comply to using Jira.
>>>>>
>>>>> == Other Resources ==
>>>>>
>>>>> We currently use a set of Github integrated services that are free to
>>>>> the
>>>>> open source community, like Travis-ci, Code Climate, Coveralls,
>>>>> Landscape.io, Requires.io, david-dm and Gitter. We would like to keep
>>>>>
>>>> using
>>>>
>>>>> these services as they allow us to scale contributions and optimize our
>>>>> development flows. These services require some elevated rights on the
>>>>> Github repository in order to set up or tune and we would like for the
>>>>> committers to have the required rights.
>>>>>
>>>>>
>>>>> == Initial Committers ==
>>>>>
>>>>> * Maxime Beauchemin <ma...@airbnb.com> - PMC & Committer
>>>>>
>>>>> * Alanna Scott <al...@airbnb.com> - PMC & Committer
>>>>>
>>>>> * Bogdan Kyryliuk <b....@gmail.com> - PMC & Committer
>>>>>
>>>>> * Vera Liu <ve...@airbnb.com> - Committer
>>>>>
>>>>> * Jeff Feng <je...@airbnb.com> - PMC & Committer
>>>>>
>>>>> * Ashutosh Chauhan <ha...@apache.org> - Mentor & Committer
>>>>>
>>>>> * Nishant Bangarwa <nb...@hortonworks.com> - PMC & Committer
>>>>>
>>>>> * Slim Bouguerra <sb...@hortonworks.com> - Committer
>>>>>
>>>>> * Priyank Shah <ps...@hortonworks.com> - Committer
>>>>>
>>>>> * Harsha Chintalapani <sc...@hortonworks.com> - Committer
>>>>>
>>>>> * Daniel Dai <da...@apache.org> - Champion & Committer
>>>>>
>>>>> == Affiliations ==
>>>>>
>>>>> The initial committers are employees of Airbnb Inc. and Hortonworks.
>>>>>
>>>>> == Sponsors ==
>>>>>
>>>>> === Champion ===
>>>>>
>>>>> Daniel Dai <da...@apache.org>
>>>>>
>>>>> === Nominated Mentors ===
>>>>>
>>>>> Ashutosh Chauhan <ha...@apache.org>
>>>>>
>>>>> === Sponsoring Entity ===
>>>>>
>>>>> Incubator PMC
>>>>>
>>>>>
>>>>> --
>>>>>
>>>>> *Jeff Feng*
>>>>> Product Manager
>>>>> m: (949)-610-5108 <(949)%20610-5108>
>>>>> twitter: @jtfeng
>>>>>
>>>>>
>>>>
>>>
>> --
>> Jean-Baptiste Onofr�
>> jbonofre@apache.org
>> http://blog.nanthrax.net
>> Talend - http://www.talend.com
>>
>> ---------------------------------------------------------------------
>> To unsubscribe, e-mail: general-unsubscribe@incubator.apache.org
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>>
>>
>
--
Jean-Baptiste Onofr�
jbonofre@apache.org
http://blog.nanthrax.net
Talend - http://www.talend.com
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Re: [PROPOSAL] Superset Proposal for Apache Incubator
Posted by Pierre Smits <pi...@gmail.com>.
I found this
* [[http://airbnb.io/superset/|Superset Documentation]]
leading to nowhere. http://airbnb.io/superset/ worked for me.
Best regards,
Pierre Smits
ORRTIZ.COM <http://www.orrtiz.com>
OFBiz based solutions & services
OFBiz Extensions Marketplace
http://oem.ofbizci.net/oci-2/
On Sat, Apr 15, 2017 at 11:32 AM, Pierre Smits <pi...@gmail.com>
wrote:
> Indeed an interesting project and I also look forward to it becoming part
> of the Apache suite of open source solutions.
>
> I have some cycles to guide the podling (when accepted) growing towards
> graduation.
>
> Best regards,
>
> Pierre Smits
>
> ORRTIZ.COM <http://www.orrtiz.com>
> OFBiz based solutions & services
>
> OFBiz Extensions Marketplace
> http://oem.ofbizci.net/oci-2/
>
> On Sat, Apr 15, 2017 at 4:04 AM, Roman Shaposhnik <ro...@shaposhnik.org>
> wrote:
>
>> On Fri, Apr 14, 2017 at 5:45 PM, Julian Hyde <jh...@apache.org> wrote:
>> > My mentoring cycles are all spoken for, but Superset is a great project
>> and I look forward to it becoming part of Apache. Good luck, and I look
>> forward to voting on your release candidates!
>>
>> Ditto for me, unfortunately -- but I very much share Julian's sentiment!
>>
>> Thanks,
>> Roman.
>>
>> ---------------------------------------------------------------------
>> To unsubscribe, e-mail: general-unsubscribe@incubator.apache.org
>> For additional commands, e-mail: general-help@incubator.apache.org
>>
>>
>
Re: [PROPOSAL] Superset Proposal for Apache Incubator
Posted by Pierre Smits <pi...@gmail.com>.
Indeed an interesting project and I also look forward to it becoming part
of the Apache suite of open source solutions.
I have some cycles to guide the podling (when accepted) growing towards
graduation.
Best regards,
Pierre Smits
ORRTIZ.COM <http://www.orrtiz.com>
OFBiz based solutions & services
OFBiz Extensions Marketplace
http://oem.ofbizci.net/oci-2/
On Sat, Apr 15, 2017 at 4:04 AM, Roman Shaposhnik <ro...@shaposhnik.org>
wrote:
> On Fri, Apr 14, 2017 at 5:45 PM, Julian Hyde <jh...@apache.org> wrote:
> > My mentoring cycles are all spoken for, but Superset is a great project
> and I look forward to it becoming part of Apache. Good luck, and I look
> forward to voting on your release candidates!
>
> Ditto for me, unfortunately -- but I very much share Julian's sentiment!
>
> Thanks,
> Roman.
>
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: general-unsubscribe@incubator.apache.org
> For additional commands, e-mail: general-help@incubator.apache.org
>
>
Re: [PROPOSAL] Superset Proposal for Apache Incubator
Posted by Roman Shaposhnik <ro...@shaposhnik.org>.
On Fri, Apr 14, 2017 at 5:45 PM, Julian Hyde <jh...@apache.org> wrote:
> My mentoring cycles are all spoken for, but Superset is a great project and I look forward to it becoming part of Apache. Good luck, and I look forward to voting on your release candidates!
Ditto for me, unfortunately -- but I very much share Julian's sentiment!
Thanks,
Roman.
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Re: [PROPOSAL] Superset Proposal for Apache Incubator
Posted by Julian Hyde <jh...@apache.org>.
My mentoring cycles are all spoken for, but Superset is a great project and I look forward to it becoming part of Apache. Good luck, and I look forward to voting on your release candidates!
Julian
> On Apr 13, 2017, at 6:48 PM, Luke Han <lu...@gmail.com> wrote:
>
> Happy to help too.
>
>
> Best Regards!
> ---------------------
>
> Luke Han
>
> On Fri, Apr 14, 2017 at 1:17 AM, Debo Dutta (dedutta) <de...@cisco.com>
> wrote:
>
>> happy to help
>>
>> debo
>>
>> On 4/13/17, 9:59 AM, "Maxime Beauchemin" <ma...@gmail.com>
>> wrote:
>>
>> Hi Jean-Baptiste,
>>
>> We are indeed looking for more mentors.
>>
>> Should I update the wiki and replace all references to PMC by PPMC?
>>
>> Thanks,
>>
>> Max
>>
>> On Wed, Apr 12, 2017 at 12:51 PM, Jean-Baptiste Onofré <
>> jb@nanthrax.net>
>> wrote:
>>
>>> Hi Maxime,
>>>
>>> The proposal looks interesting.
>>>
>>> Just a note, it's PPMC (not PMC) during incubation.
>>>
>>> Are you seeking for other mentor (I see you only have one mentor and
>> one
>>> champion for now) ?
>>>
>>> Regards
>>> JB
>>>
>>>
>>> On 04/12/2017 09:41 PM, Maxime Beauchemin wrote:
>>>
>>>> Hi all,
>>>>
>>>> We would love feedback on the proposal. Do the veterans on this
>> mailing
>>>> list think that the proposal is ready for a vote!?
>>>>
>>>> Thanks,
>>>>
>>>> Max
>>>>
>>>> On Tue, Apr 4, 2017 at 5:26 PM, Luke Han <lu...@gmail.com> wrote:
>>>>
>>>> Hi Jeff,
>>>>> This is great project which have been mentioned many times in
>>>>> community. It looks cool and fun for data works.
>>>>>
>>>>> Thanks to proposal Superset to be Apache Incubator Project,
>> please
>>>>> let
>>>>> me know if there's anything I could help.
>>>>>
>>>>> Thanks.
>>>>> Luke
>>>>>
>>>>>
>>>>> Best Regards!
>>>>> ---------------------
>>>>>
>>>>> Luke Han
>>>>>
>>>>> On Sun, Apr 2, 2017 at 7:45 AM, Jeff Feng
>> <je...@airbnb.com.invalid>
>>>>> wrote:
>>>>>
>>>>> Dear Apache Incubator Community,
>>>>>>
>>>>>> We are excited to share our proposal for discussion and feedback
>> for
>>>>>> entering Apache Incubation. Superset is an enterprise-ready web
>>>>>> application for data exploration, data visualization and
>> dashboarding.
>>>>>>
>>>>>> Our Incubation proposal is at the following Wiki as well as
>> copied in
>>>>>> the
>>>>>> email below:
>>>>>>
>>>>>> https://wiki.apache.org/incubator/SupersetProposal
>>>>>>
>>>>>> We have an active Superset community including 400+ members and
>> nearly
>>>>>>
>>>>> 200
>>>>>
>>>>>> topics. The Google Group can be found below. We plan to move the
>>>>>> discussion to the ASF:
>>>>>>
>>>>>> https://groups.google.com/forum/#!forum/airbnb_superset
>>>>>>
>>>>>> Thank you and look forward to the discussion!
>>>>>>
>>>>>> Jeff, Max & Alanna
>>>>>>
>>>>>>
>>>>>>
>>>>>>
>>>>>> = Superset =
>>>>>>
>>>>>> == Abstract ==
>>>>>>
>>>>>> Superset is an enterprise-ready web application for data
>> exploration,
>>>>>>
>>>>> data
>>>>>
>>>>>> visualization and dashboarding.
>>>>>>
>>>>>> == Proposal ==
>>>>>>
>>>>>> Superset is business intelligence (BI) software that helps modern
>>>>>> organizations visualize and interact with their data. Superset
>> enables
>>>>>> users explore data from a variety of databases, assemble beautiful
>>>>>> dashboards and share their findings. Superset works neatly with
>> all
>>>>>>
>>>>> modern
>>>>>
>>>>>> SQL-speaking databases, and integrates with Druid.io to provide
>>>>>>
>>>>> real-time,
>>>>>
>>>>>> interactive, blazing fast data access to large datasets.
>>>>>>
>>>>>> == Background ==
>>>>>>
>>>>>> Data is mission critical. To succeed in this era, organizations
>> need to
>>>>>> provide low-friction, intuitive and interactive access to data.
>> It is
>>>>>> paramount for knowledge workers to be capable of answering their
>> own
>>>>>> questions by querying, exploring and visualizing data.
>>>>>>
>>>>>> The entire business intelligence industry has pivoted from a
>> model of
>>>>>> centralized top-down platforms driven by IT organizations to
>>>>>> self-service
>>>>>> analytics and agile workflows by any user. This shift unblocks
>>>>>>
>>>>> centralized
>>>>>
>>>>>> service bottlenecks for creating data visualizations while also
>> creating
>>>>>>
>>>>> an
>>>>>
>>>>>> environment that is iterative and fast-moving. This means that
>> business
>>>>>> intelligence software must also be easy and delightful to use.
>>>>>> Self-service analytics doesn’t mean that admin and governance
>> features
>>>>>>
>>>>> are
>>>>>
>>>>>> not needed.
>>>>>>
>>>>>> Modern BI tools provide fine-grain access controls and auditing
>>>>>> capabilities to understand how data is being used. Superset is a
>>>>>>
>>>>> solution
>>>>>
>>>>>> that delivers on all of these vectors.
>>>>>>
>>>>>> The technology stack is also constantly morphing - vendors are
>>>>>> struggling
>>>>>> to provide cheap, quick and easy solutions to access data.
>> Business
>>>>>> intelligence users are finding existing solutions lacking as these
>>>>>>
>>>>> software
>>>>>
>>>>>> products either disregard or react slowly to recent game-changing
>>>>>> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin,
>> d3.js,
>>>>>> React.js and iPython’s Jupyter for instance.
>>>>>>
>>>>>> == Rationale ==
>>>>>>
>>>>>> Business intelligence is more relevant today than at any other
>> point in
>>>>>> history. Organizations are currently very limited in options for
>> open
>>>>>> source data visualization solutions, especially solutions that
>> are both
>>>>>> self-service and enterprise-ready. Every company informing their
>>>>>>
>>>>> decisions
>>>>>
>>>>>> with data needs a BI tool.
>>>>>>
>>>>>> We believe that Superset will be a strong compliment to existing
>> Apache
>>>>>> Software Foundation technologies by offering scalable user
>> interactions
>>>>>>
>>>>> to
>>>>>
>>>>>> distributed storage and computation solutions. Users will often
>> find
>>>>>>
>>>>> that
>>>>>
>>>>>> Superset can act as a catalyst for tooling that can visualize the
>>>>>>
>>>>> byproduct
>>>>>
>>>>>> of data and computation infrastructure.
>>>>>>
>>>>>> Superset has many key design elements that help fill a gap in
>> current
>>>>>> solutions for organizations:
>>>>>>
>>>>>> * Easy, low friction access to data through a simple, web-based
>> data
>>>>>> exploration interface. Composing charts and dashboards are
>> intuitive.
>>>>>> Eliminating the need to write code or SQL empowers anyone to use
>> it.
>>>>>>
>>>>>> * Access to a wide array of rich, interactive data visualization
>> types.
>>>>>>
>>>>>> * Enterprise-ready: Integration with different authentication
>> mechanisms
>>>>>> and granular permissions centered around actions and data access.
>>>>>>
>>>>>> * Realtime & fast: Superset provides realtime analytics at the
>> speed of
>>>>>> thought on very large datasets when integrated with Druid.io.
>>>>>>
>>>>>> * Broad data access: Consume data out of any SQL-speaking
>> relational
>>>>>> database.
>>>>>>
>>>>>> * Extensible: Can be extended to talk to many noSQL databases like
>>>>>> Apache
>>>>>> Drill, Elastic Search, and other popular database engines.
>>>>>>
>>>>>> * Fast loading dashboards with configurable web-scale caching.
>>>>>>
>>>>>> * Plug-in framework that enables organizations to build custom
>>>>>> analytical
>>>>>> applications with new UI/UX interfaces.
>>>>>>
>>>>>> * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking
>> users
>>>>>>
>>>>> with
>>>>>
>>>>>> more flexibility. SQL Lab integrates with the visualization
>> engine
>>>>>> seamlessly.
>>>>>>
>>>>>> == Initial Goals ==
>>>>>>
>>>>>> The initial goals of the Superset project are several-fold:
>>>>>>
>>>>>> Move the existing codebase to Apache and integrate with the Apache
>>>>>> development process.
>>>>>>
>>>>>> Redesign the user interface and interaction model for creating
>>>>>> visualizations/dashboards and connecting to data sources
>>>>>>
>>>>>> Build robust support for security and governance of the tool
>> including
>>>>>> popular authorization modules (including Apache Ranger and Apache
>>>>>> Sentry)
>>>>>> and a more sophisticated permissions system
>>>>>>
>>>>>> Grow the extensibility of the project both in terms of enhanced
>>>>>> connectivity to NoSQL-based data sources and creating a plug-in
>>>>>> framework
>>>>>> that enables organizations to build custom analytical
>> applications which
>>>>>> require a new UI/UX
>>>>>>
>>>>>> == Current Status ==
>>>>>>
>>>>>> By many standards, Superset is already a successful open source
>> project.
>>>>>>
>>>>> As
>>>>>
>>>>>> of March 2017, Superset is officially used in production at about
>> a
>>>>>> dozen
>>>>>> companies, has received contributions from over one hundred
>> contributors
>>>>>>
>>>>> on
>>>>>
>>>>>> Github, 1500+ forks, and 12k+ stars.
>>>>>>
>>>>>> Sizeable companies like Airbnb, Yahoo! and Hortonworks have made
>>>>>> significant contributions, and expressed their commitment to the
>>>>>> project.
>>>>>> The product is feature complete and has been viable for months. It
>>>>>>
>>>>> already
>>>>>
>>>>>> serves as the main interface for consuming data at many companies
>> of
>>>>>> different sizes.
>>>>>>
>>>>>> While the product is usable, there’s room for improvement across
>> the
>>>>>>
>>>>> board,
>>>>>
>>>>>> starting with providing a smoother user experience around content
>>>>>>
>>>>> creation,
>>>>>
>>>>>> making sure all features work out-of-the-box on more platforms and
>>>>>> databases, providing better user training guides and videos,
>> having a
>>>>>> predictable release process, and increasing the overall quality
>> of the
>>>>>> Superset releases.
>>>>>>
>>>>>> === Meritocracy ===
>>>>>>
>>>>>> We plan to invest in supporting a meritocracy. We will discuss the
>>>>>> requirements in an open forum. Several companies have expressed
>> interest
>>>>>>
>>>>> in
>>>>>
>>>>>> this project, and we intend to invite additional developers to
>>>>>>
>>>>> participate.
>>>>>
>>>>>> We will encourage and monitor community participation so that
>> privileges
>>>>>> can be extended to those that contribute.
>>>>>>
>>>>>> === Community ===
>>>>>>
>>>>>> The need for an enterprise-ready data visualization and
>> exploration
>>>>>> platform in the open source community is tremendous. While
>> Superset is
>>>>>> fairly well known, recognized and used within the Druid.io
>> community,
>>>>>> adoption is currently limited outside of that niche. There is a
>> huge
>>>>>> opportunity to grow the community to hundreds if not thousands of
>>>>>> organizations, and we are hoping that embracing “the Apache way”
>> will
>>>>>> accelerate the growth of our community.
>>>>>>
>>>>>> We have already been active at seeking and inviting
>> contributions, and
>>>>>>
>>>>> are
>>>>>
>>>>>> planning to scale the project by investing time and growing the
>> support
>>>>>> structure to grow the community.
>>>>>>
>>>>>> === Core Developers ===
>>>>>>
>>>>>> The initial committers for Superset include experienced full
>> stack,
>>>>>> front-end and data engineers:
>>>>>>
>>>>>> * Maxime Beauchemin (Airbnb)
>>>>>>
>>>>>> * Alanna Scott (Airbnb)
>>>>>>
>>>>>> * Bogdan Kyryliuk (Airbnb)
>>>>>>
>>>>>> * Vera Liu (Airbnb)
>>>>>>
>>>>>> * Jeff Feng (Airbnb)
>>>>>>
>>>>>> * Ashutosh Chauhan (Hortonworks)
>>>>>>
>>>>>> * Nishant Bangarwa (Hortonworks)
>>>>>>
>>>>>> * Slim Bouguerra (Hortonworks)
>>>>>>
>>>>>> * Priyank Shah (Hortonworks)
>>>>>>
>>>>>> * Sriharsha Chintalapani (Hortonworks)
>>>>>>
>>>>>> * Daniel Dai (Hortonworks)
>>>>>>
>>>>>> We realize that additional employer diversity is needed, and we
>> will
>>>>>> work
>>>>>> aggressively to recruit developers from additional companies.
>>>>>>
>>>>>> === Alignment ===
>>>>>>
>>>>>> The initial committers strongly believe that a system for
>> interactive
>>>>>> visualization of data will gain broader adoption as an open
>> source,
>>>>>> community driven project, where the community can contribute not
>> only to
>>>>>> the core components, but also to a growing collection of
>> connectors,
>>>>>> visualizations and improving integration a all potential data
>> sources.
>>>>>> Superset already integrates closely with Apache Hive, the Hive
>>>>>> metastore,
>>>>>> as well as most SQL-speaking databases found in modern data
>> ecosystems.
>>>>>>
>>>>>> == Known Risks ==
>>>>>>
>>>>>> === Orphaned Products ===
>>>>>>
>>>>>> Superset is a vital component for both visualizing, accessing and
>>>>>> democratizing data at Airbnb. Also at Hortonworks, Superset is a
>> core
>>>>>> component of the DataFlow product offering. Thus, the risk of the
>>>>>>
>>>>> project
>>>>>
>>>>>> being orphaned is relatively low. The project could be at risk if
>>>>>> Airbnb
>>>>>> changes their approach for democratizing data or if Hortonworks
>> changes
>>>>>> their strategy in the market. In such an event, the committers
>> plan to
>>>>>> continue working on the project on their own time, thought the
>> progress
>>>>>> will likely be slower. We plan to mitigate this risk by
>> recruiting
>>>>>> additional committers.
>>>>>>
>>>>>> === Inexperience with Open Source ===
>>>>>>
>>>>>> The initial committers include veteran Apache members (committers
>> and
>>>>>> PMC
>>>>>> members) and other developers who have varying degrees of
>> experience
>>>>>> with
>>>>>> open source projects. All have been involved with source code
>> that has
>>>>>>
>>>>> been
>>>>>
>>>>>> released under an open source license, and several also have
>> experience
>>>>>> developing code with an open source development process.
>>>>>>
>>>>>> === Homogenous Developers ===
>>>>>>
>>>>>> The initial committers are employed by Airbnb Inc., and
>> Hortonworks. We
>>>>>>
>>>>> are
>>>>>
>>>>>> committed to recruiting additional committers from other
>> companies.
>>>>>>
>>>>>> === Reliance on Salaried Developers ===
>>>>>>
>>>>>> It is expected that Superset development will occur on both
>> salaried
>>>>>> time
>>>>>> and on volunteer time, after hours. The majority of initial
>> committers
>>>>>>
>>>>> are
>>>>>
>>>>>> paid by their employer to contribute to this project. However,
>> they are
>>>>>>
>>>>> all
>>>>>
>>>>>> passionate about the project, and we are confident that the
>> project will
>>>>>> continue even if no salaried developers contribute to the
>> project. We
>>>>>> are
>>>>>> committed to recruiting additional committers including
>> non-salaried
>>>>>> developers.
>>>>>>
>>>>>> === Relationships with Other Apache Products ===
>>>>>>
>>>>>> To the knowledge of the Initial Committers, there are no direct
>>>>>>
>>>>> competitors
>>>>>
>>>>>> to Superset within the Apache Software Foundation. That said,
>> Apache
>>>>>> Zeppelin is an indirect competitor, but it solves a different use
>> case.
>>>>>>
>>>>>> Apache Zeppelin is a web-based notebook that enables interactive
>> data
>>>>>> analytics. It enables the creation of beautiful data-driven,
>> interactive
>>>>>> and collaborative documents with SQL, Scala and more. Although a
>> user
>>>>>>
>>>>> can
>>>>>
>>>>>> create data visualizations using this project, it leverages a
>> notebook
>>>>>> style user interfaces and it is geared towards the Spark
>> community where
>>>>>> Scala and SQL co-exist
>>>>>>
>>>>>> We look forward to collaborating with those communities, as well
>> as
>>>>>> other
>>>>>> Apache communities.
>>>>>>
>>>>>> === An Excessive Fascination with the Apache Brand ===
>>>>>>
>>>>>> Superset is solving two huge challenges:
>>>>>>
>>>>>> The challenge of enabling every knowledge worker to make data
>> informed
>>>>>> decisions, particularly those who are not deeply skilled at
>> writing SQL.
>>>>>>
>>>>>> The challenge of visualizing huge amounts of data interactively
>> and in
>>>>>> real-time
>>>>>>
>>>>>> Superset was first developed as a data visualization solution for
>>>>>>
>>>>> Druid.io
>>>>>
>>>>>> as a way to visualize billions of rows of data. Since then,
>> usage of
>>>>>> Superset has expanded to address data visualization use cases
>> across SQL
>>>>>> speaking data sources as well.
>>>>>>
>>>>>> Our rationale for developing Superset as an Apache project is
>> detailed
>>>>>> in
>>>>>> the Rationale Section. We believe that the Apache brand and
>> community
>>>>>> process will help us attract more contributors to this project,
>> and help
>>>>>> grow the footprint of the project through usage at other
>> organizations
>>>>>>
>>>>> and
>>>>>
>>>>>> within other applications. Establishing consensus among users and
>>>>>> developers will result in a more valuable tool for everyone.
>>>>>>
>>>>>> == Documentation ==
>>>>>>
>>>>>> References to further reading material:
>>>>>>
>>>>>> * [[http://airbnb.io/superset/|Superset Documentation]]
>>>>>>
>>>>>> * [[https://medium.com/airbnb-engineering/caravel-airbnb-s-dat
>>>>>> a-exploration-platform-15a72aa610e5#.npqmmbu25|Blog Post:
>> Superset:
>>>>>> Airbnb’s Data Exploration Platform]]
>>>>>>
>>>>>> * [[https://medium.com/airbnb-engineering/superset-scaling-dat
>>>>>> a-access-and-visual-insights-at-airbnb-3ce3e9b88a7f#.
>> a505zvb1t|Blog
>>>>>>
>>>>> Post:
>>>>>
>>>>>> Superset: Scaling Data Access & Visual Insights at Airbnb]]
>>>>>>
>>>>>> == Initial Source ==
>>>>>>
>>>>>> The origin of the proposed code base can be found at
>>>>>> https://github.com/airbnb/superset. The code base is primarily
>> in
>>>>>>
>>>>> Python.
>>>>>
>>>>>>
>>>>>> == Source and Intellectual Property Submission Plan ==
>>>>>>
>>>>>> We do not expect any complications for the submission of the
>> Superset
>>>>>>
>>>>> code
>>>>>
>>>>>> base. Our code is already in Github and there is only a single
>> code
>>>>>>
>>>>> base.
>>>>>
>>>>>>
>>>>>> == External Dependencies ==
>>>>>>
>>>>>> List of Python packages, from the Python Package Index (Pypi):
>>>>>>
>>>>>> * boto3
>>>>>>
>>>>>> * celery
>>>>>>
>>>>>> * cryptography
>>>>>>
>>>>>> * flask-appbuilder
>>>>>>
>>>>>> * flask-cache
>>>>>>
>>>>>> * flask-migrate
>>>>>>
>>>>>> * flask-script
>>>>>>
>>>>>> * flask-sqlalchemy
>>>>>>
>>>>>> * flask-testing
>>>>>>
>>>>>> * humanize
>>>>>>
>>>>>> * gunicorn
>>>>>>
>>>>>> * markdown
>>>>>>
>>>>>> * pandas
>>>>>>
>>>>>> * parsedatetime
>>>>>>
>>>>>> * pydruid
>>>>>>
>>>>>> * PyHive
>>>>>>
>>>>>> * python-dateutil
>>>>>>
>>>>>> * requests
>>>>>>
>>>>>> * simplejson
>>>>>>
>>>>>> * six
>>>>>>
>>>>>> * sqlalchemy
>>>>>>
>>>>>> * sqlalchemy-utils
>>>>>>
>>>>>> * sqlparse
>>>>>>
>>>>>> * thrift
>>>>>>
>>>>>> * thrift-sasl
>>>>>>
>>>>>> * werkzeug
>>>>>>
>>>>>> List of Javascript packages, from NPM:
>>>>>>
>>>>>> * autobind-decorator
>>>>>>
>>>>>> * bootstrap
>>>>>>
>>>>>> * bootstrap-datepicker
>>>>>>
>>>>>> * brace
>>>>>>
>>>>>> * brfs
>>>>>>
>>>>>> * cal-heatmap
>>>>>>
>>>>>> * classnames
>>>>>>
>>>>>> * d3
>>>>>>
>>>>>> * d3-cloud
>>>>>>
>>>>>> * d3-sankey
>>>>>>
>>>>>> * d3-scale
>>>>>>
>>>>>> * d3-tip
>>>>>>
>>>>>> * datamaps
>>>>>>
>>>>>> * datatables-bootstrap3-plugin
>>>>>>
>>>>>> * datatables.net-bs
>>>>>>
>>>>>> * font-awesome
>>>>>>
>>>>>> * gridster
>>>>>>
>>>>>> * immutability-helper
>>>>>>
>>>>>> * immutable
>>>>>>
>>>>>> * jquery
>>>>>>
>>>>>> * lodash.throttle
>>>>>>
>>>>>> * mapbox-gl
>>>>>>
>>>>>> * moment
>>>>>>
>>>>>> * moments
>>>>>>
>>>>>> * mustache
>>>>>>
>>>>>> * nvd3
>>>>>>
>>>>>> * react
>>>>>>
>>>>>> * react-ace
>>>>>>
>>>>>> * react-bootstrap
>>>>>>
>>>>>> * react-bootstrap-table
>>>>>>
>>>>>> * react-dom
>>>>>>
>>>>>> * react-draggable
>>>>>>
>>>>>> * react-gravatar
>>>>>>
>>>>>> * react-grid-layout
>>>>>>
>>>>>> * react-map-gl
>>>>>>
>>>>>> * react-redux
>>>>>>
>>>>>> * react-resizable
>>>>>>
>>>>>> * react-select
>>>>>>
>>>>>> * react-syntax-highlighter
>>>>>>
>>>>>> * reactable
>>>>>>
>>>>>> * redux
>>>>>>
>>>>>> * redux-localstorage
>>>>>>
>>>>>> * redux-thunk
>>>>>>
>>>>>> * shortid
>>>>>>
>>>>>> * style-loader
>>>>>>
>>>>>> * supercluster
>>>>>>
>>>>>> * topojson
>>>>>>
>>>>>> * victory
>>>>>>
>>>>>> * viewport-mercator-project
>>>>>>
>>>>>> == Cryptography ==
>>>>>>
>>>>>> The proposal does not include cryptographic code.
>>>>>>
>>>>>> == Required Resources ==
>>>>>>
>>>>>> === Mailing List ===
>>>>>>
>>>>>> There is a current mailing list as a Google Group
>> “airbnb_superset” that
>>>>>>
>>>>> we
>>>>>
>>>>>> are planning on deprecating as the Apache.org become ready to
>> serve our
>>>>>> community.
>>>>>>
>>>>>> * superset-private
>>>>>>
>>>>>> * superset-dev
>>>>>>
>>>>>> * superset-user
>>>>>>
>>>>>> === Subversion Directory ===
>>>>>>
>>>>>> Git is the preferred source control system.
>>>>>>
>>>>> http://svn.apache.org/repos/as
>>>>>
>>>>>> f/incubator/superset
>>>>>>
>>>>>> == Git Repository ==
>>>>>>
>>>>>> Git is the preferred source control system, we’re assuming
>>>>>> https://github.com/apache/incubator-superset based on the naming
>> scheme
>>>>>>
>>>>>> == Issue Tracking ==
>>>>>>
>>>>>> JIRA Superset (SUPERSET). If possible, we’d like to use Github
>> issues &
>>>>>>
>>>>> PRs
>>>>>
>>>>>> to manage our project as much as possible. It’s been said that
>> there are
>>>>>> ways to keep Github’s issues in sync with Jira, allowing us to
>> get best
>>>>>>
>>>>> of
>>>>>
>>>>>> both worlds. If that is not possible, we will comply to using
>> Jira.
>>>>>>
>>>>>> == Other Resources ==
>>>>>>
>>>>>> We currently use a set of Github integrated services that are
>> free to
>>>>>> the
>>>>>> open source community, like Travis-ci, Code Climate, Coveralls,
>>>>>> Landscape.io, Requires.io, david-dm and Gitter. We would like to
>> keep
>>>>>>
>>>>> using
>>>>>
>>>>>> these services as they allow us to scale contributions and
>> optimize our
>>>>>> development flows. These services require some elevated rights on
>> the
>>>>>> Github repository in order to set up or tune and we would like
>> for the
>>>>>> committers to have the required rights.
>>>>>>
>>>>>>
>>>>>> == Initial Committers ==
>>>>>>
>>>>>> * Maxime Beauchemin <ma...@airbnb.com> - PMC &
>> Committer
>>>>>>
>>>>>> * Alanna Scott <al...@airbnb.com> - PMC & Committer
>>>>>>
>>>>>> * Bogdan Kyryliuk <b....@gmail.com> - PMC & Committer
>>>>>>
>>>>>> * Vera Liu <ve...@airbnb.com> - Committer
>>>>>>
>>>>>> * Jeff Feng <je...@airbnb.com> - PMC & Committer
>>>>>>
>>>>>> * Ashutosh Chauhan <ha...@apache.org> - Mentor & Committer
>>>>>>
>>>>>> * Nishant Bangarwa <nb...@hortonworks.com> - PMC & Committer
>>>>>>
>>>>>> * Slim Bouguerra <sb...@hortonworks.com> - Committer
>>>>>>
>>>>>> * Priyank Shah <ps...@hortonworks.com> - Committer
>>>>>>
>>>>>> * Harsha Chintalapani <sc...@hortonworks.com> - Committer
>>>>>>
>>>>>> * Daniel Dai <da...@apache.org> - Champion & Committer
>>>>>>
>>>>>> == Affiliations ==
>>>>>>
>>>>>> The initial committers are employees of Airbnb Inc. and
>> Hortonworks.
>>>>>>
>>>>>> == Sponsors ==
>>>>>>
>>>>>> === Champion ===
>>>>>>
>>>>>> Daniel Dai <da...@apache.org>
>>>>>>
>>>>>> === Nominated Mentors ===
>>>>>>
>>>>>> Ashutosh Chauhan <ha...@apache.org>
>>>>>>
>>>>>> === Sponsoring Entity ===
>>>>>>
>>>>>> Incubator PMC
>>>>>>
>>>>>>
>>>>>> --
>>>>>>
>>>>>> *Jeff Feng*
>>>>>> Product Manager
>>>>>> m: (949)-610-5108 <(949)%20610-5108>
>>>>>> twitter: @jtfeng
>>>>>>
>>>>>>
>>>>>
>>>>
>>> --
>>> Jean-Baptiste Onofré
>>> jbonofre@apache.org
>>> http://blog.nanthrax.net
>>> Talend - http://www.talend.com
>>>
>>> ------------------------------------------------------------
>> ---------
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>>> For additional commands, e-mail: general-help@incubator.apache.org
>>>
>>>
>>
>>
>>
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Re: [PROPOSAL] Superset Proposal for Apache Incubator
Posted by Luke Han <lu...@gmail.com>.
Happy to help too.
Best Regards!
---------------------
Luke Han
On Fri, Apr 14, 2017 at 1:17 AM, Debo Dutta (dedutta) <de...@cisco.com>
wrote:
> happy to help
>
> debo
>
> On 4/13/17, 9:59 AM, "Maxime Beauchemin" <ma...@gmail.com>
> wrote:
>
> Hi Jean-Baptiste,
>
> We are indeed looking for more mentors.
>
> Should I update the wiki and replace all references to PMC by PPMC?
>
> Thanks,
>
> Max
>
> On Wed, Apr 12, 2017 at 12:51 PM, Jean-Baptiste Onofré <
> jb@nanthrax.net>
> wrote:
>
> > Hi Maxime,
> >
> > The proposal looks interesting.
> >
> > Just a note, it's PPMC (not PMC) during incubation.
> >
> > Are you seeking for other mentor (I see you only have one mentor and
> one
> > champion for now) ?
> >
> > Regards
> > JB
> >
> >
> > On 04/12/2017 09:41 PM, Maxime Beauchemin wrote:
> >
> >> Hi all,
> >>
> >> We would love feedback on the proposal. Do the veterans on this
> mailing
> >> list think that the proposal is ready for a vote!?
> >>
> >> Thanks,
> >>
> >> Max
> >>
> >> On Tue, Apr 4, 2017 at 5:26 PM, Luke Han <lu...@gmail.com> wrote:
> >>
> >> Hi Jeff,
> >>> This is great project which have been mentioned many times in
> >>> community. It looks cool and fun for data works.
> >>>
> >>> Thanks to proposal Superset to be Apache Incubator Project,
> please
> >>> let
> >>> me know if there's anything I could help.
> >>>
> >>> Thanks.
> >>> Luke
> >>>
> >>>
> >>> Best Regards!
> >>> ---------------------
> >>>
> >>> Luke Han
> >>>
> >>> On Sun, Apr 2, 2017 at 7:45 AM, Jeff Feng
> <je...@airbnb.com.invalid>
> >>> wrote:
> >>>
> >>> Dear Apache Incubator Community,
> >>>>
> >>>> We are excited to share our proposal for discussion and feedback
> for
> >>>> entering Apache Incubation. Superset is an enterprise-ready web
> >>>> application for data exploration, data visualization and
> dashboarding.
> >>>>
> >>>> Our Incubation proposal is at the following Wiki as well as
> copied in
> >>>> the
> >>>> email below:
> >>>>
> >>>> https://wiki.apache.org/incubator/SupersetProposal
> >>>>
> >>>> We have an active Superset community including 400+ members and
> nearly
> >>>>
> >>> 200
> >>>
> >>>> topics. The Google Group can be found below. We plan to move the
> >>>> discussion to the ASF:
> >>>>
> >>>> https://groups.google.com/forum/#!forum/airbnb_superset
> >>>>
> >>>> Thank you and look forward to the discussion!
> >>>>
> >>>> Jeff, Max & Alanna
> >>>>
> >>>>
> >>>>
> >>>>
> >>>> = Superset =
> >>>>
> >>>> == Abstract ==
> >>>>
> >>>> Superset is an enterprise-ready web application for data
> exploration,
> >>>>
> >>> data
> >>>
> >>>> visualization and dashboarding.
> >>>>
> >>>> == Proposal ==
> >>>>
> >>>> Superset is business intelligence (BI) software that helps modern
> >>>> organizations visualize and interact with their data. Superset
> enables
> >>>> users explore data from a variety of databases, assemble beautiful
> >>>> dashboards and share their findings. Superset works neatly with
> all
> >>>>
> >>> modern
> >>>
> >>>> SQL-speaking databases, and integrates with Druid.io to provide
> >>>>
> >>> real-time,
> >>>
> >>>> interactive, blazing fast data access to large datasets.
> >>>>
> >>>> == Background ==
> >>>>
> >>>> Data is mission critical. To succeed in this era, organizations
> need to
> >>>> provide low-friction, intuitive and interactive access to data.
> It is
> >>>> paramount for knowledge workers to be capable of answering their
> own
> >>>> questions by querying, exploring and visualizing data.
> >>>>
> >>>> The entire business intelligence industry has pivoted from a
> model of
> >>>> centralized top-down platforms driven by IT organizations to
> >>>> self-service
> >>>> analytics and agile workflows by any user. This shift unblocks
> >>>>
> >>> centralized
> >>>
> >>>> service bottlenecks for creating data visualizations while also
> creating
> >>>>
> >>> an
> >>>
> >>>> environment that is iterative and fast-moving. This means that
> business
> >>>> intelligence software must also be easy and delightful to use.
> >>>> Self-service analytics doesn’t mean that admin and governance
> features
> >>>>
> >>> are
> >>>
> >>>> not needed.
> >>>>
> >>>> Modern BI tools provide fine-grain access controls and auditing
> >>>> capabilities to understand how data is being used. Superset is a
> >>>>
> >>> solution
> >>>
> >>>> that delivers on all of these vectors.
> >>>>
> >>>> The technology stack is also constantly morphing - vendors are
> >>>> struggling
> >>>> to provide cheap, quick and easy solutions to access data.
> Business
> >>>> intelligence users are finding existing solutions lacking as these
> >>>>
> >>> software
> >>>
> >>>> products either disregard or react slowly to recent game-changing
> >>>> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin,
> d3.js,
> >>>> React.js and iPython’s Jupyter for instance.
> >>>>
> >>>> == Rationale ==
> >>>>
> >>>> Business intelligence is more relevant today than at any other
> point in
> >>>> history. Organizations are currently very limited in options for
> open
> >>>> source data visualization solutions, especially solutions that
> are both
> >>>> self-service and enterprise-ready. Every company informing their
> >>>>
> >>> decisions
> >>>
> >>>> with data needs a BI tool.
> >>>>
> >>>> We believe that Superset will be a strong compliment to existing
> Apache
> >>>> Software Foundation technologies by offering scalable user
> interactions
> >>>>
> >>> to
> >>>
> >>>> distributed storage and computation solutions. Users will often
> find
> >>>>
> >>> that
> >>>
> >>>> Superset can act as a catalyst for tooling that can visualize the
> >>>>
> >>> byproduct
> >>>
> >>>> of data and computation infrastructure.
> >>>>
> >>>> Superset has many key design elements that help fill a gap in
> current
> >>>> solutions for organizations:
> >>>>
> >>>> * Easy, low friction access to data through a simple, web-based
> data
> >>>> exploration interface. Composing charts and dashboards are
> intuitive.
> >>>> Eliminating the need to write code or SQL empowers anyone to use
> it.
> >>>>
> >>>> * Access to a wide array of rich, interactive data visualization
> types.
> >>>>
> >>>> * Enterprise-ready: Integration with different authentication
> mechanisms
> >>>> and granular permissions centered around actions and data access.
> >>>>
> >>>> * Realtime & fast: Superset provides realtime analytics at the
> speed of
> >>>> thought on very large datasets when integrated with Druid.io.
> >>>>
> >>>> * Broad data access: Consume data out of any SQL-speaking
> relational
> >>>> database.
> >>>>
> >>>> * Extensible: Can be extended to talk to many noSQL databases like
> >>>> Apache
> >>>> Drill, Elastic Search, and other popular database engines.
> >>>>
> >>>> * Fast loading dashboards with configurable web-scale caching.
> >>>>
> >>>> * Plug-in framework that enables organizations to build custom
> >>>> analytical
> >>>> applications with new UI/UX interfaces.
> >>>>
> >>>> * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking
> users
> >>>>
> >>> with
> >>>
> >>>> more flexibility. SQL Lab integrates with the visualization
> engine
> >>>> seamlessly.
> >>>>
> >>>> == Initial Goals ==
> >>>>
> >>>> The initial goals of the Superset project are several-fold:
> >>>>
> >>>> Move the existing codebase to Apache and integrate with the Apache
> >>>> development process.
> >>>>
> >>>> Redesign the user interface and interaction model for creating
> >>>> visualizations/dashboards and connecting to data sources
> >>>>
> >>>> Build robust support for security and governance of the tool
> including
> >>>> popular authorization modules (including Apache Ranger and Apache
> >>>> Sentry)
> >>>> and a more sophisticated permissions system
> >>>>
> >>>> Grow the extensibility of the project both in terms of enhanced
> >>>> connectivity to NoSQL-based data sources and creating a plug-in
> >>>> framework
> >>>> that enables organizations to build custom analytical
> applications which
> >>>> require a new UI/UX
> >>>>
> >>>> == Current Status ==
> >>>>
> >>>> By many standards, Superset is already a successful open source
> project.
> >>>>
> >>> As
> >>>
> >>>> of March 2017, Superset is officially used in production at about
> a
> >>>> dozen
> >>>> companies, has received contributions from over one hundred
> contributors
> >>>>
> >>> on
> >>>
> >>>> Github, 1500+ forks, and 12k+ stars.
> >>>>
> >>>> Sizeable companies like Airbnb, Yahoo! and Hortonworks have made
> >>>> significant contributions, and expressed their commitment to the
> >>>> project.
> >>>> The product is feature complete and has been viable for months. It
> >>>>
> >>> already
> >>>
> >>>> serves as the main interface for consuming data at many companies
> of
> >>>> different sizes.
> >>>>
> >>>> While the product is usable, there’s room for improvement across
> the
> >>>>
> >>> board,
> >>>
> >>>> starting with providing a smoother user experience around content
> >>>>
> >>> creation,
> >>>
> >>>> making sure all features work out-of-the-box on more platforms and
> >>>> databases, providing better user training guides and videos,
> having a
> >>>> predictable release process, and increasing the overall quality
> of the
> >>>> Superset releases.
> >>>>
> >>>> === Meritocracy ===
> >>>>
> >>>> We plan to invest in supporting a meritocracy. We will discuss the
> >>>> requirements in an open forum. Several companies have expressed
> interest
> >>>>
> >>> in
> >>>
> >>>> this project, and we intend to invite additional developers to
> >>>>
> >>> participate.
> >>>
> >>>> We will encourage and monitor community participation so that
> privileges
> >>>> can be extended to those that contribute.
> >>>>
> >>>> === Community ===
> >>>>
> >>>> The need for an enterprise-ready data visualization and
> exploration
> >>>> platform in the open source community is tremendous. While
> Superset is
> >>>> fairly well known, recognized and used within the Druid.io
> community,
> >>>> adoption is currently limited outside of that niche. There is a
> huge
> >>>> opportunity to grow the community to hundreds if not thousands of
> >>>> organizations, and we are hoping that embracing “the Apache way”
> will
> >>>> accelerate the growth of our community.
> >>>>
> >>>> We have already been active at seeking and inviting
> contributions, and
> >>>>
> >>> are
> >>>
> >>>> planning to scale the project by investing time and growing the
> support
> >>>> structure to grow the community.
> >>>>
> >>>> === Core Developers ===
> >>>>
> >>>> The initial committers for Superset include experienced full
> stack,
> >>>> front-end and data engineers:
> >>>>
> >>>> * Maxime Beauchemin (Airbnb)
> >>>>
> >>>> * Alanna Scott (Airbnb)
> >>>>
> >>>> * Bogdan Kyryliuk (Airbnb)
> >>>>
> >>>> * Vera Liu (Airbnb)
> >>>>
> >>>> * Jeff Feng (Airbnb)
> >>>>
> >>>> * Ashutosh Chauhan (Hortonworks)
> >>>>
> >>>> * Nishant Bangarwa (Hortonworks)
> >>>>
> >>>> * Slim Bouguerra (Hortonworks)
> >>>>
> >>>> * Priyank Shah (Hortonworks)
> >>>>
> >>>> * Sriharsha Chintalapani (Hortonworks)
> >>>>
> >>>> * Daniel Dai (Hortonworks)
> >>>>
> >>>> We realize that additional employer diversity is needed, and we
> will
> >>>> work
> >>>> aggressively to recruit developers from additional companies.
> >>>>
> >>>> === Alignment ===
> >>>>
> >>>> The initial committers strongly believe that a system for
> interactive
> >>>> visualization of data will gain broader adoption as an open
> source,
> >>>> community driven project, where the community can contribute not
> only to
> >>>> the core components, but also to a growing collection of
> connectors,
> >>>> visualizations and improving integration a all potential data
> sources.
> >>>> Superset already integrates closely with Apache Hive, the Hive
> >>>> metastore,
> >>>> as well as most SQL-speaking databases found in modern data
> ecosystems.
> >>>>
> >>>> == Known Risks ==
> >>>>
> >>>> === Orphaned Products ===
> >>>>
> >>>> Superset is a vital component for both visualizing, accessing and
> >>>> democratizing data at Airbnb. Also at Hortonworks, Superset is a
> core
> >>>> component of the DataFlow product offering. Thus, the risk of the
> >>>>
> >>> project
> >>>
> >>>> being orphaned is relatively low. The project could be at risk if
> >>>> Airbnb
> >>>> changes their approach for democratizing data or if Hortonworks
> changes
> >>>> their strategy in the market. In such an event, the committers
> plan to
> >>>> continue working on the project on their own time, thought the
> progress
> >>>> will likely be slower. We plan to mitigate this risk by
> recruiting
> >>>> additional committers.
> >>>>
> >>>> === Inexperience with Open Source ===
> >>>>
> >>>> The initial committers include veteran Apache members (committers
> and
> >>>> PMC
> >>>> members) and other developers who have varying degrees of
> experience
> >>>> with
> >>>> open source projects. All have been involved with source code
> that has
> >>>>
> >>> been
> >>>
> >>>> released under an open source license, and several also have
> experience
> >>>> developing code with an open source development process.
> >>>>
> >>>> === Homogenous Developers ===
> >>>>
> >>>> The initial committers are employed by Airbnb Inc., and
> Hortonworks. We
> >>>>
> >>> are
> >>>
> >>>> committed to recruiting additional committers from other
> companies.
> >>>>
> >>>> === Reliance on Salaried Developers ===
> >>>>
> >>>> It is expected that Superset development will occur on both
> salaried
> >>>> time
> >>>> and on volunteer time, after hours. The majority of initial
> committers
> >>>>
> >>> are
> >>>
> >>>> paid by their employer to contribute to this project. However,
> they are
> >>>>
> >>> all
> >>>
> >>>> passionate about the project, and we are confident that the
> project will
> >>>> continue even if no salaried developers contribute to the
> project. We
> >>>> are
> >>>> committed to recruiting additional committers including
> non-salaried
> >>>> developers.
> >>>>
> >>>> === Relationships with Other Apache Products ===
> >>>>
> >>>> To the knowledge of the Initial Committers, there are no direct
> >>>>
> >>> competitors
> >>>
> >>>> to Superset within the Apache Software Foundation. That said,
> Apache
> >>>> Zeppelin is an indirect competitor, but it solves a different use
> case.
> >>>>
> >>>> Apache Zeppelin is a web-based notebook that enables interactive
> data
> >>>> analytics. It enables the creation of beautiful data-driven,
> interactive
> >>>> and collaborative documents with SQL, Scala and more. Although a
> user
> >>>>
> >>> can
> >>>
> >>>> create data visualizations using this project, it leverages a
> notebook
> >>>> style user interfaces and it is geared towards the Spark
> community where
> >>>> Scala and SQL co-exist
> >>>>
> >>>> We look forward to collaborating with those communities, as well
> as
> >>>> other
> >>>> Apache communities.
> >>>>
> >>>> === An Excessive Fascination with the Apache Brand ===
> >>>>
> >>>> Superset is solving two huge challenges:
> >>>>
> >>>> The challenge of enabling every knowledge worker to make data
> informed
> >>>> decisions, particularly those who are not deeply skilled at
> writing SQL.
> >>>>
> >>>> The challenge of visualizing huge amounts of data interactively
> and in
> >>>> real-time
> >>>>
> >>>> Superset was first developed as a data visualization solution for
> >>>>
> >>> Druid.io
> >>>
> >>>> as a way to visualize billions of rows of data. Since then,
> usage of
> >>>> Superset has expanded to address data visualization use cases
> across SQL
> >>>> speaking data sources as well.
> >>>>
> >>>> Our rationale for developing Superset as an Apache project is
> detailed
> >>>> in
> >>>> the Rationale Section. We believe that the Apache brand and
> community
> >>>> process will help us attract more contributors to this project,
> and help
> >>>> grow the footprint of the project through usage at other
> organizations
> >>>>
> >>> and
> >>>
> >>>> within other applications. Establishing consensus among users and
> >>>> developers will result in a more valuable tool for everyone.
> >>>>
> >>>> == Documentation ==
> >>>>
> >>>> References to further reading material:
> >>>>
> >>>> * [[http://airbnb.io/superset/|Superset Documentation]]
> >>>>
> >>>> * [[https://medium.com/airbnb-engineering/caravel-airbnb-s-dat
> >>>> a-exploration-platform-15a72aa610e5#.npqmmbu25|Blog Post:
> Superset:
> >>>> Airbnb’s Data Exploration Platform]]
> >>>>
> >>>> * [[https://medium.com/airbnb-engineering/superset-scaling-dat
> >>>> a-access-and-visual-insights-at-airbnb-3ce3e9b88a7f#.
> a505zvb1t|Blog
> >>>>
> >>> Post:
> >>>
> >>>> Superset: Scaling Data Access & Visual Insights at Airbnb]]
> >>>>
> >>>> == Initial Source ==
> >>>>
> >>>> The origin of the proposed code base can be found at
> >>>> https://github.com/airbnb/superset. The code base is primarily
> in
> >>>>
> >>> Python.
> >>>
> >>>>
> >>>> == Source and Intellectual Property Submission Plan ==
> >>>>
> >>>> We do not expect any complications for the submission of the
> Superset
> >>>>
> >>> code
> >>>
> >>>> base. Our code is already in Github and there is only a single
> code
> >>>>
> >>> base.
> >>>
> >>>>
> >>>> == External Dependencies ==
> >>>>
> >>>> List of Python packages, from the Python Package Index (Pypi):
> >>>>
> >>>> * boto3
> >>>>
> >>>> * celery
> >>>>
> >>>> * cryptography
> >>>>
> >>>> * flask-appbuilder
> >>>>
> >>>> * flask-cache
> >>>>
> >>>> * flask-migrate
> >>>>
> >>>> * flask-script
> >>>>
> >>>> * flask-sqlalchemy
> >>>>
> >>>> * flask-testing
> >>>>
> >>>> * humanize
> >>>>
> >>>> * gunicorn
> >>>>
> >>>> * markdown
> >>>>
> >>>> * pandas
> >>>>
> >>>> * parsedatetime
> >>>>
> >>>> * pydruid
> >>>>
> >>>> * PyHive
> >>>>
> >>>> * python-dateutil
> >>>>
> >>>> * requests
> >>>>
> >>>> * simplejson
> >>>>
> >>>> * six
> >>>>
> >>>> * sqlalchemy
> >>>>
> >>>> * sqlalchemy-utils
> >>>>
> >>>> * sqlparse
> >>>>
> >>>> * thrift
> >>>>
> >>>> * thrift-sasl
> >>>>
> >>>> * werkzeug
> >>>>
> >>>> List of Javascript packages, from NPM:
> >>>>
> >>>> * autobind-decorator
> >>>>
> >>>> * bootstrap
> >>>>
> >>>> * bootstrap-datepicker
> >>>>
> >>>> * brace
> >>>>
> >>>> * brfs
> >>>>
> >>>> * cal-heatmap
> >>>>
> >>>> * classnames
> >>>>
> >>>> * d3
> >>>>
> >>>> * d3-cloud
> >>>>
> >>>> * d3-sankey
> >>>>
> >>>> * d3-scale
> >>>>
> >>>> * d3-tip
> >>>>
> >>>> * datamaps
> >>>>
> >>>> * datatables-bootstrap3-plugin
> >>>>
> >>>> * datatables.net-bs
> >>>>
> >>>> * font-awesome
> >>>>
> >>>> * gridster
> >>>>
> >>>> * immutability-helper
> >>>>
> >>>> * immutable
> >>>>
> >>>> * jquery
> >>>>
> >>>> * lodash.throttle
> >>>>
> >>>> * mapbox-gl
> >>>>
> >>>> * moment
> >>>>
> >>>> * moments
> >>>>
> >>>> * mustache
> >>>>
> >>>> * nvd3
> >>>>
> >>>> * react
> >>>>
> >>>> * react-ace
> >>>>
> >>>> * react-bootstrap
> >>>>
> >>>> * react-bootstrap-table
> >>>>
> >>>> * react-dom
> >>>>
> >>>> * react-draggable
> >>>>
> >>>> * react-gravatar
> >>>>
> >>>> * react-grid-layout
> >>>>
> >>>> * react-map-gl
> >>>>
> >>>> * react-redux
> >>>>
> >>>> * react-resizable
> >>>>
> >>>> * react-select
> >>>>
> >>>> * react-syntax-highlighter
> >>>>
> >>>> * reactable
> >>>>
> >>>> * redux
> >>>>
> >>>> * redux-localstorage
> >>>>
> >>>> * redux-thunk
> >>>>
> >>>> * shortid
> >>>>
> >>>> * style-loader
> >>>>
> >>>> * supercluster
> >>>>
> >>>> * topojson
> >>>>
> >>>> * victory
> >>>>
> >>>> * viewport-mercator-project
> >>>>
> >>>> == Cryptography ==
> >>>>
> >>>> The proposal does not include cryptographic code.
> >>>>
> >>>> == Required Resources ==
> >>>>
> >>>> === Mailing List ===
> >>>>
> >>>> There is a current mailing list as a Google Group
> “airbnb_superset” that
> >>>>
> >>> we
> >>>
> >>>> are planning on deprecating as the Apache.org become ready to
> serve our
> >>>> community.
> >>>>
> >>>> * superset-private
> >>>>
> >>>> * superset-dev
> >>>>
> >>>> * superset-user
> >>>>
> >>>> === Subversion Directory ===
> >>>>
> >>>> Git is the preferred source control system.
> >>>>
> >>> http://svn.apache.org/repos/as
> >>>
> >>>> f/incubator/superset
> >>>>
> >>>> == Git Repository ==
> >>>>
> >>>> Git is the preferred source control system, we’re assuming
> >>>> https://github.com/apache/incubator-superset based on the naming
> scheme
> >>>>
> >>>> == Issue Tracking ==
> >>>>
> >>>> JIRA Superset (SUPERSET). If possible, we’d like to use Github
> issues &
> >>>>
> >>> PRs
> >>>
> >>>> to manage our project as much as possible. It’s been said that
> there are
> >>>> ways to keep Github’s issues in sync with Jira, allowing us to
> get best
> >>>>
> >>> of
> >>>
> >>>> both worlds. If that is not possible, we will comply to using
> Jira.
> >>>>
> >>>> == Other Resources ==
> >>>>
> >>>> We currently use a set of Github integrated services that are
> free to
> >>>> the
> >>>> open source community, like Travis-ci, Code Climate, Coveralls,
> >>>> Landscape.io, Requires.io, david-dm and Gitter. We would like to
> keep
> >>>>
> >>> using
> >>>
> >>>> these services as they allow us to scale contributions and
> optimize our
> >>>> development flows. These services require some elevated rights on
> the
> >>>> Github repository in order to set up or tune and we would like
> for the
> >>>> committers to have the required rights.
> >>>>
> >>>>
> >>>> == Initial Committers ==
> >>>>
> >>>> * Maxime Beauchemin <ma...@airbnb.com> - PMC &
> Committer
> >>>>
> >>>> * Alanna Scott <al...@airbnb.com> - PMC & Committer
> >>>>
> >>>> * Bogdan Kyryliuk <b....@gmail.com> - PMC & Committer
> >>>>
> >>>> * Vera Liu <ve...@airbnb.com> - Committer
> >>>>
> >>>> * Jeff Feng <je...@airbnb.com> - PMC & Committer
> >>>>
> >>>> * Ashutosh Chauhan <ha...@apache.org> - Mentor & Committer
> >>>>
> >>>> * Nishant Bangarwa <nb...@hortonworks.com> - PMC & Committer
> >>>>
> >>>> * Slim Bouguerra <sb...@hortonworks.com> - Committer
> >>>>
> >>>> * Priyank Shah <ps...@hortonworks.com> - Committer
> >>>>
> >>>> * Harsha Chintalapani <sc...@hortonworks.com> - Committer
> >>>>
> >>>> * Daniel Dai <da...@apache.org> - Champion & Committer
> >>>>
> >>>> == Affiliations ==
> >>>>
> >>>> The initial committers are employees of Airbnb Inc. and
> Hortonworks.
> >>>>
> >>>> == Sponsors ==
> >>>>
> >>>> === Champion ===
> >>>>
> >>>> Daniel Dai <da...@apache.org>
> >>>>
> >>>> === Nominated Mentors ===
> >>>>
> >>>> Ashutosh Chauhan <ha...@apache.org>
> >>>>
> >>>> === Sponsoring Entity ===
> >>>>
> >>>> Incubator PMC
> >>>>
> >>>>
> >>>> --
> >>>>
> >>>> *Jeff Feng*
> >>>> Product Manager
> >>>> m: (949)-610-5108 <(949)%20610-5108>
> >>>> twitter: @jtfeng
> >>>>
> >>>>
> >>>
> >>
> > --
> > Jean-Baptiste Onofré
> > jbonofre@apache.org
> > http://blog.nanthrax.net
> > Talend - http://www.talend.com
> >
> > ------------------------------------------------------------
> ---------
> > To unsubscribe, e-mail: general-unsubscribe@incubator.apache.org
> > For additional commands, e-mail: general-help@incubator.apache.org
> >
> >
>
>
>
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: general-unsubscribe@incubator.apache.org
> For additional commands, e-mail: general-help@incubator.apache.org
>
Re: [PROPOSAL] Superset Proposal for Apache Incubator
Posted by "Debo Dutta (dedutta)" <de...@cisco.com>.
happy to help
debo
On 4/13/17, 9:59 AM, "Maxime Beauchemin" <ma...@gmail.com> wrote:
Hi Jean-Baptiste,
We are indeed looking for more mentors.
Should I update the wiki and replace all references to PMC by PPMC?
Thanks,
Max
On Wed, Apr 12, 2017 at 12:51 PM, Jean-Baptiste Onofré <jb...@nanthrax.net>
wrote:
> Hi Maxime,
>
> The proposal looks interesting.
>
> Just a note, it's PPMC (not PMC) during incubation.
>
> Are you seeking for other mentor (I see you only have one mentor and one
> champion for now) ?
>
> Regards
> JB
>
>
> On 04/12/2017 09:41 PM, Maxime Beauchemin wrote:
>
>> Hi all,
>>
>> We would love feedback on the proposal. Do the veterans on this mailing
>> list think that the proposal is ready for a vote!?
>>
>> Thanks,
>>
>> Max
>>
>> On Tue, Apr 4, 2017 at 5:26 PM, Luke Han <lu...@gmail.com> wrote:
>>
>> Hi Jeff,
>>> This is great project which have been mentioned many times in
>>> community. It looks cool and fun for data works.
>>>
>>> Thanks to proposal Superset to be Apache Incubator Project, please
>>> let
>>> me know if there's anything I could help.
>>>
>>> Thanks.
>>> Luke
>>>
>>>
>>> Best Regards!
>>> ---------------------
>>>
>>> Luke Han
>>>
>>> On Sun, Apr 2, 2017 at 7:45 AM, Jeff Feng <je...@airbnb.com.invalid>
>>> wrote:
>>>
>>> Dear Apache Incubator Community,
>>>>
>>>> We are excited to share our proposal for discussion and feedback for
>>>> entering Apache Incubation. Superset is an enterprise-ready web
>>>> application for data exploration, data visualization and dashboarding.
>>>>
>>>> Our Incubation proposal is at the following Wiki as well as copied in
>>>> the
>>>> email below:
>>>>
>>>> https://wiki.apache.org/incubator/SupersetProposal
>>>>
>>>> We have an active Superset community including 400+ members and nearly
>>>>
>>> 200
>>>
>>>> topics. The Google Group can be found below. We plan to move the
>>>> discussion to the ASF:
>>>>
>>>> https://groups.google.com/forum/#!forum/airbnb_superset
>>>>
>>>> Thank you and look forward to the discussion!
>>>>
>>>> Jeff, Max & Alanna
>>>>
>>>>
>>>>
>>>>
>>>> = Superset =
>>>>
>>>> == Abstract ==
>>>>
>>>> Superset is an enterprise-ready web application for data exploration,
>>>>
>>> data
>>>
>>>> visualization and dashboarding.
>>>>
>>>> == Proposal ==
>>>>
>>>> Superset is business intelligence (BI) software that helps modern
>>>> organizations visualize and interact with their data. Superset enables
>>>> users explore data from a variety of databases, assemble beautiful
>>>> dashboards and share their findings. Superset works neatly with all
>>>>
>>> modern
>>>
>>>> SQL-speaking databases, and integrates with Druid.io to provide
>>>>
>>> real-time,
>>>
>>>> interactive, blazing fast data access to large datasets.
>>>>
>>>> == Background ==
>>>>
>>>> Data is mission critical. To succeed in this era, organizations need to
>>>> provide low-friction, intuitive and interactive access to data. It is
>>>> paramount for knowledge workers to be capable of answering their own
>>>> questions by querying, exploring and visualizing data.
>>>>
>>>> The entire business intelligence industry has pivoted from a model of
>>>> centralized top-down platforms driven by IT organizations to
>>>> self-service
>>>> analytics and agile workflows by any user. This shift unblocks
>>>>
>>> centralized
>>>
>>>> service bottlenecks for creating data visualizations while also creating
>>>>
>>> an
>>>
>>>> environment that is iterative and fast-moving. This means that business
>>>> intelligence software must also be easy and delightful to use.
>>>> Self-service analytics doesn’t mean that admin and governance features
>>>>
>>> are
>>>
>>>> not needed.
>>>>
>>>> Modern BI tools provide fine-grain access controls and auditing
>>>> capabilities to understand how data is being used. Superset is a
>>>>
>>> solution
>>>
>>>> that delivers on all of these vectors.
>>>>
>>>> The technology stack is also constantly morphing - vendors are
>>>> struggling
>>>> to provide cheap, quick and easy solutions to access data. Business
>>>> intelligence users are finding existing solutions lacking as these
>>>>
>>> software
>>>
>>>> products either disregard or react slowly to recent game-changing
>>>> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
>>>> React.js and iPython’s Jupyter for instance.
>>>>
>>>> == Rationale ==
>>>>
>>>> Business intelligence is more relevant today than at any other point in
>>>> history. Organizations are currently very limited in options for open
>>>> source data visualization solutions, especially solutions that are both
>>>> self-service and enterprise-ready. Every company informing their
>>>>
>>> decisions
>>>
>>>> with data needs a BI tool.
>>>>
>>>> We believe that Superset will be a strong compliment to existing Apache
>>>> Software Foundation technologies by offering scalable user interactions
>>>>
>>> to
>>>
>>>> distributed storage and computation solutions. Users will often find
>>>>
>>> that
>>>
>>>> Superset can act as a catalyst for tooling that can visualize the
>>>>
>>> byproduct
>>>
>>>> of data and computation infrastructure.
>>>>
>>>> Superset has many key design elements that help fill a gap in current
>>>> solutions for organizations:
>>>>
>>>> * Easy, low friction access to data through a simple, web-based data
>>>> exploration interface. Composing charts and dashboards are intuitive.
>>>> Eliminating the need to write code or SQL empowers anyone to use it.
>>>>
>>>> * Access to a wide array of rich, interactive data visualization types.
>>>>
>>>> * Enterprise-ready: Integration with different authentication mechanisms
>>>> and granular permissions centered around actions and data access.
>>>>
>>>> * Realtime & fast: Superset provides realtime analytics at the speed of
>>>> thought on very large datasets when integrated with Druid.io.
>>>>
>>>> * Broad data access: Consume data out of any SQL-speaking relational
>>>> database.
>>>>
>>>> * Extensible: Can be extended to talk to many noSQL databases like
>>>> Apache
>>>> Drill, Elastic Search, and other popular database engines.
>>>>
>>>> * Fast loading dashboards with configurable web-scale caching.
>>>>
>>>> * Plug-in framework that enables organizations to build custom
>>>> analytical
>>>> applications with new UI/UX interfaces.
>>>>
>>>> * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users
>>>>
>>> with
>>>
>>>> more flexibility. SQL Lab integrates with the visualization engine
>>>> seamlessly.
>>>>
>>>> == Initial Goals ==
>>>>
>>>> The initial goals of the Superset project are several-fold:
>>>>
>>>> Move the existing codebase to Apache and integrate with the Apache
>>>> development process.
>>>>
>>>> Redesign the user interface and interaction model for creating
>>>> visualizations/dashboards and connecting to data sources
>>>>
>>>> Build robust support for security and governance of the tool including
>>>> popular authorization modules (including Apache Ranger and Apache
>>>> Sentry)
>>>> and a more sophisticated permissions system
>>>>
>>>> Grow the extensibility of the project both in terms of enhanced
>>>> connectivity to NoSQL-based data sources and creating a plug-in
>>>> framework
>>>> that enables organizations to build custom analytical applications which
>>>> require a new UI/UX
>>>>
>>>> == Current Status ==
>>>>
>>>> By many standards, Superset is already a successful open source project.
>>>>
>>> As
>>>
>>>> of March 2017, Superset is officially used in production at about a
>>>> dozen
>>>> companies, has received contributions from over one hundred contributors
>>>>
>>> on
>>>
>>>> Github, 1500+ forks, and 12k+ stars.
>>>>
>>>> Sizeable companies like Airbnb, Yahoo! and Hortonworks have made
>>>> significant contributions, and expressed their commitment to the
>>>> project.
>>>> The product is feature complete and has been viable for months. It
>>>>
>>> already
>>>
>>>> serves as the main interface for consuming data at many companies of
>>>> different sizes.
>>>>
>>>> While the product is usable, there’s room for improvement across the
>>>>
>>> board,
>>>
>>>> starting with providing a smoother user experience around content
>>>>
>>> creation,
>>>
>>>> making sure all features work out-of-the-box on more platforms and
>>>> databases, providing better user training guides and videos, having a
>>>> predictable release process, and increasing the overall quality of the
>>>> Superset releases.
>>>>
>>>> === Meritocracy ===
>>>>
>>>> We plan to invest in supporting a meritocracy. We will discuss the
>>>> requirements in an open forum. Several companies have expressed interest
>>>>
>>> in
>>>
>>>> this project, and we intend to invite additional developers to
>>>>
>>> participate.
>>>
>>>> We will encourage and monitor community participation so that privileges
>>>> can be extended to those that contribute.
>>>>
>>>> === Community ===
>>>>
>>>> The need for an enterprise-ready data visualization and exploration
>>>> platform in the open source community is tremendous. While Superset is
>>>> fairly well known, recognized and used within the Druid.io community,
>>>> adoption is currently limited outside of that niche. There is a huge
>>>> opportunity to grow the community to hundreds if not thousands of
>>>> organizations, and we are hoping that embracing “the Apache way” will
>>>> accelerate the growth of our community.
>>>>
>>>> We have already been active at seeking and inviting contributions, and
>>>>
>>> are
>>>
>>>> planning to scale the project by investing time and growing the support
>>>> structure to grow the community.
>>>>
>>>> === Core Developers ===
>>>>
>>>> The initial committers for Superset include experienced full stack,
>>>> front-end and data engineers:
>>>>
>>>> * Maxime Beauchemin (Airbnb)
>>>>
>>>> * Alanna Scott (Airbnb)
>>>>
>>>> * Bogdan Kyryliuk (Airbnb)
>>>>
>>>> * Vera Liu (Airbnb)
>>>>
>>>> * Jeff Feng (Airbnb)
>>>>
>>>> * Ashutosh Chauhan (Hortonworks)
>>>>
>>>> * Nishant Bangarwa (Hortonworks)
>>>>
>>>> * Slim Bouguerra (Hortonworks)
>>>>
>>>> * Priyank Shah (Hortonworks)
>>>>
>>>> * Sriharsha Chintalapani (Hortonworks)
>>>>
>>>> * Daniel Dai (Hortonworks)
>>>>
>>>> We realize that additional employer diversity is needed, and we will
>>>> work
>>>> aggressively to recruit developers from additional companies.
>>>>
>>>> === Alignment ===
>>>>
>>>> The initial committers strongly believe that a system for interactive
>>>> visualization of data will gain broader adoption as an open source,
>>>> community driven project, where the community can contribute not only to
>>>> the core components, but also to a growing collection of connectors,
>>>> visualizations and improving integration a all potential data sources.
>>>> Superset already integrates closely with Apache Hive, the Hive
>>>> metastore,
>>>> as well as most SQL-speaking databases found in modern data ecosystems.
>>>>
>>>> == Known Risks ==
>>>>
>>>> === Orphaned Products ===
>>>>
>>>> Superset is a vital component for both visualizing, accessing and
>>>> democratizing data at Airbnb. Also at Hortonworks, Superset is a core
>>>> component of the DataFlow product offering. Thus, the risk of the
>>>>
>>> project
>>>
>>>> being orphaned is relatively low. The project could be at risk if
>>>> Airbnb
>>>> changes their approach for democratizing data or if Hortonworks changes
>>>> their strategy in the market. In such an event, the committers plan to
>>>> continue working on the project on their own time, thought the progress
>>>> will likely be slower. We plan to mitigate this risk by recruiting
>>>> additional committers.
>>>>
>>>> === Inexperience with Open Source ===
>>>>
>>>> The initial committers include veteran Apache members (committers and
>>>> PMC
>>>> members) and other developers who have varying degrees of experience
>>>> with
>>>> open source projects. All have been involved with source code that has
>>>>
>>> been
>>>
>>>> released under an open source license, and several also have experience
>>>> developing code with an open source development process.
>>>>
>>>> === Homogenous Developers ===
>>>>
>>>> The initial committers are employed by Airbnb Inc., and Hortonworks. We
>>>>
>>> are
>>>
>>>> committed to recruiting additional committers from other companies.
>>>>
>>>> === Reliance on Salaried Developers ===
>>>>
>>>> It is expected that Superset development will occur on both salaried
>>>> time
>>>> and on volunteer time, after hours. The majority of initial committers
>>>>
>>> are
>>>
>>>> paid by their employer to contribute to this project. However, they are
>>>>
>>> all
>>>
>>>> passionate about the project, and we are confident that the project will
>>>> continue even if no salaried developers contribute to the project. We
>>>> are
>>>> committed to recruiting additional committers including non-salaried
>>>> developers.
>>>>
>>>> === Relationships with Other Apache Products ===
>>>>
>>>> To the knowledge of the Initial Committers, there are no direct
>>>>
>>> competitors
>>>
>>>> to Superset within the Apache Software Foundation. That said, Apache
>>>> Zeppelin is an indirect competitor, but it solves a different use case.
>>>>
>>>> Apache Zeppelin is a web-based notebook that enables interactive data
>>>> analytics. It enables the creation of beautiful data-driven, interactive
>>>> and collaborative documents with SQL, Scala and more. Although a user
>>>>
>>> can
>>>
>>>> create data visualizations using this project, it leverages a notebook
>>>> style user interfaces and it is geared towards the Spark community where
>>>> Scala and SQL co-exist
>>>>
>>>> We look forward to collaborating with those communities, as well as
>>>> other
>>>> Apache communities.
>>>>
>>>> === An Excessive Fascination with the Apache Brand ===
>>>>
>>>> Superset is solving two huge challenges:
>>>>
>>>> The challenge of enabling every knowledge worker to make data informed
>>>> decisions, particularly those who are not deeply skilled at writing SQL.
>>>>
>>>> The challenge of visualizing huge amounts of data interactively and in
>>>> real-time
>>>>
>>>> Superset was first developed as a data visualization solution for
>>>>
>>> Druid.io
>>>
>>>> as a way to visualize billions of rows of data. Since then, usage of
>>>> Superset has expanded to address data visualization use cases across SQL
>>>> speaking data sources as well.
>>>>
>>>> Our rationale for developing Superset as an Apache project is detailed
>>>> in
>>>> the Rationale Section. We believe that the Apache brand and community
>>>> process will help us attract more contributors to this project, and help
>>>> grow the footprint of the project through usage at other organizations
>>>>
>>> and
>>>
>>>> within other applications. Establishing consensus among users and
>>>> developers will result in a more valuable tool for everyone.
>>>>
>>>> == Documentation ==
>>>>
>>>> References to further reading material:
>>>>
>>>> * [[http://airbnb.io/superset/|Superset Documentation]]
>>>>
>>>> * [[https://medium.com/airbnb-engineering/caravel-airbnb-s-dat
>>>> a-exploration-platform-15a72aa610e5#.npqmmbu25|Blog Post: Superset:
>>>> Airbnb’s Data Exploration Platform]]
>>>>
>>>> * [[https://medium.com/airbnb-engineering/superset-scaling-dat
>>>> a-access-and-visual-insights-at-airbnb-3ce3e9b88a7f#.a505zvb1t|Blog
>>>>
>>> Post:
>>>
>>>> Superset: Scaling Data Access & Visual Insights at Airbnb]]
>>>>
>>>> == Initial Source ==
>>>>
>>>> The origin of the proposed code base can be found at
>>>> https://github.com/airbnb/superset. The code base is primarily in
>>>>
>>> Python.
>>>
>>>>
>>>> == Source and Intellectual Property Submission Plan ==
>>>>
>>>> We do not expect any complications for the submission of the Superset
>>>>
>>> code
>>>
>>>> base. Our code is already in Github and there is only a single code
>>>>
>>> base.
>>>
>>>>
>>>> == External Dependencies ==
>>>>
>>>> List of Python packages, from the Python Package Index (Pypi):
>>>>
>>>> * boto3
>>>>
>>>> * celery
>>>>
>>>> * cryptography
>>>>
>>>> * flask-appbuilder
>>>>
>>>> * flask-cache
>>>>
>>>> * flask-migrate
>>>>
>>>> * flask-script
>>>>
>>>> * flask-sqlalchemy
>>>>
>>>> * flask-testing
>>>>
>>>> * humanize
>>>>
>>>> * gunicorn
>>>>
>>>> * markdown
>>>>
>>>> * pandas
>>>>
>>>> * parsedatetime
>>>>
>>>> * pydruid
>>>>
>>>> * PyHive
>>>>
>>>> * python-dateutil
>>>>
>>>> * requests
>>>>
>>>> * simplejson
>>>>
>>>> * six
>>>>
>>>> * sqlalchemy
>>>>
>>>> * sqlalchemy-utils
>>>>
>>>> * sqlparse
>>>>
>>>> * thrift
>>>>
>>>> * thrift-sasl
>>>>
>>>> * werkzeug
>>>>
>>>> List of Javascript packages, from NPM:
>>>>
>>>> * autobind-decorator
>>>>
>>>> * bootstrap
>>>>
>>>> * bootstrap-datepicker
>>>>
>>>> * brace
>>>>
>>>> * brfs
>>>>
>>>> * cal-heatmap
>>>>
>>>> * classnames
>>>>
>>>> * d3
>>>>
>>>> * d3-cloud
>>>>
>>>> * d3-sankey
>>>>
>>>> * d3-scale
>>>>
>>>> * d3-tip
>>>>
>>>> * datamaps
>>>>
>>>> * datatables-bootstrap3-plugin
>>>>
>>>> * datatables.net-bs
>>>>
>>>> * font-awesome
>>>>
>>>> * gridster
>>>>
>>>> * immutability-helper
>>>>
>>>> * immutable
>>>>
>>>> * jquery
>>>>
>>>> * lodash.throttle
>>>>
>>>> * mapbox-gl
>>>>
>>>> * moment
>>>>
>>>> * moments
>>>>
>>>> * mustache
>>>>
>>>> * nvd3
>>>>
>>>> * react
>>>>
>>>> * react-ace
>>>>
>>>> * react-bootstrap
>>>>
>>>> * react-bootstrap-table
>>>>
>>>> * react-dom
>>>>
>>>> * react-draggable
>>>>
>>>> * react-gravatar
>>>>
>>>> * react-grid-layout
>>>>
>>>> * react-map-gl
>>>>
>>>> * react-redux
>>>>
>>>> * react-resizable
>>>>
>>>> * react-select
>>>>
>>>> * react-syntax-highlighter
>>>>
>>>> * reactable
>>>>
>>>> * redux
>>>>
>>>> * redux-localstorage
>>>>
>>>> * redux-thunk
>>>>
>>>> * shortid
>>>>
>>>> * style-loader
>>>>
>>>> * supercluster
>>>>
>>>> * topojson
>>>>
>>>> * victory
>>>>
>>>> * viewport-mercator-project
>>>>
>>>> == Cryptography ==
>>>>
>>>> The proposal does not include cryptographic code.
>>>>
>>>> == Required Resources ==
>>>>
>>>> === Mailing List ===
>>>>
>>>> There is a current mailing list as a Google Group “airbnb_superset” that
>>>>
>>> we
>>>
>>>> are planning on deprecating as the Apache.org become ready to serve our
>>>> community.
>>>>
>>>> * superset-private
>>>>
>>>> * superset-dev
>>>>
>>>> * superset-user
>>>>
>>>> === Subversion Directory ===
>>>>
>>>> Git is the preferred source control system.
>>>>
>>> http://svn.apache.org/repos/as
>>>
>>>> f/incubator/superset
>>>>
>>>> == Git Repository ==
>>>>
>>>> Git is the preferred source control system, we’re assuming
>>>> https://github.com/apache/incubator-superset based on the naming scheme
>>>>
>>>> == Issue Tracking ==
>>>>
>>>> JIRA Superset (SUPERSET). If possible, we’d like to use Github issues &
>>>>
>>> PRs
>>>
>>>> to manage our project as much as possible. It’s been said that there are
>>>> ways to keep Github’s issues in sync with Jira, allowing us to get best
>>>>
>>> of
>>>
>>>> both worlds. If that is not possible, we will comply to using Jira.
>>>>
>>>> == Other Resources ==
>>>>
>>>> We currently use a set of Github integrated services that are free to
>>>> the
>>>> open source community, like Travis-ci, Code Climate, Coveralls,
>>>> Landscape.io, Requires.io, david-dm and Gitter. We would like to keep
>>>>
>>> using
>>>
>>>> these services as they allow us to scale contributions and optimize our
>>>> development flows. These services require some elevated rights on the
>>>> Github repository in order to set up or tune and we would like for the
>>>> committers to have the required rights.
>>>>
>>>>
>>>> == Initial Committers ==
>>>>
>>>> * Maxime Beauchemin <ma...@airbnb.com> - PMC & Committer
>>>>
>>>> * Alanna Scott <al...@airbnb.com> - PMC & Committer
>>>>
>>>> * Bogdan Kyryliuk <b....@gmail.com> - PMC & Committer
>>>>
>>>> * Vera Liu <ve...@airbnb.com> - Committer
>>>>
>>>> * Jeff Feng <je...@airbnb.com> - PMC & Committer
>>>>
>>>> * Ashutosh Chauhan <ha...@apache.org> - Mentor & Committer
>>>>
>>>> * Nishant Bangarwa <nb...@hortonworks.com> - PMC & Committer
>>>>
>>>> * Slim Bouguerra <sb...@hortonworks.com> - Committer
>>>>
>>>> * Priyank Shah <ps...@hortonworks.com> - Committer
>>>>
>>>> * Harsha Chintalapani <sc...@hortonworks.com> - Committer
>>>>
>>>> * Daniel Dai <da...@apache.org> - Champion & Committer
>>>>
>>>> == Affiliations ==
>>>>
>>>> The initial committers are employees of Airbnb Inc. and Hortonworks.
>>>>
>>>> == Sponsors ==
>>>>
>>>> === Champion ===
>>>>
>>>> Daniel Dai <da...@apache.org>
>>>>
>>>> === Nominated Mentors ===
>>>>
>>>> Ashutosh Chauhan <ha...@apache.org>
>>>>
>>>> === Sponsoring Entity ===
>>>>
>>>> Incubator PMC
>>>>
>>>>
>>>> --
>>>>
>>>> *Jeff Feng*
>>>> Product Manager
>>>> m: (949)-610-5108 <(949)%20610-5108>
>>>> twitter: @jtfeng
>>>>
>>>>
>>>
>>
> --
> Jean-Baptiste Onofré
> jbonofre@apache.org
> http://blog.nanthrax.net
> Talend - http://www.talend.com
>
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Re: [PROPOSAL] Superset Proposal for Apache Incubator
Posted by Maxime Beauchemin <ma...@gmail.com>.
Hi Jean-Baptiste,
We are indeed looking for more mentors.
Should I update the wiki and replace all references to PMC by PPMC?
Thanks,
Max
On Wed, Apr 12, 2017 at 12:51 PM, Jean-Baptiste Onofré <jb...@nanthrax.net>
wrote:
> Hi Maxime,
>
> The proposal looks interesting.
>
> Just a note, it's PPMC (not PMC) during incubation.
>
> Are you seeking for other mentor (I see you only have one mentor and one
> champion for now) ?
>
> Regards
> JB
>
>
> On 04/12/2017 09:41 PM, Maxime Beauchemin wrote:
>
>> Hi all,
>>
>> We would love feedback on the proposal. Do the veterans on this mailing
>> list think that the proposal is ready for a vote!?
>>
>> Thanks,
>>
>> Max
>>
>> On Tue, Apr 4, 2017 at 5:26 PM, Luke Han <lu...@gmail.com> wrote:
>>
>> Hi Jeff,
>>> This is great project which have been mentioned many times in
>>> community. It looks cool and fun for data works.
>>>
>>> Thanks to proposal Superset to be Apache Incubator Project, please
>>> let
>>> me know if there's anything I could help.
>>>
>>> Thanks.
>>> Luke
>>>
>>>
>>> Best Regards!
>>> ---------------------
>>>
>>> Luke Han
>>>
>>> On Sun, Apr 2, 2017 at 7:45 AM, Jeff Feng <je...@airbnb.com.invalid>
>>> wrote:
>>>
>>> Dear Apache Incubator Community,
>>>>
>>>> We are excited to share our proposal for discussion and feedback for
>>>> entering Apache Incubation. Superset is an enterprise-ready web
>>>> application for data exploration, data visualization and dashboarding.
>>>>
>>>> Our Incubation proposal is at the following Wiki as well as copied in
>>>> the
>>>> email below:
>>>>
>>>> https://wiki.apache.org/incubator/SupersetProposal
>>>>
>>>> We have an active Superset community including 400+ members and nearly
>>>>
>>> 200
>>>
>>>> topics. The Google Group can be found below. We plan to move the
>>>> discussion to the ASF:
>>>>
>>>> https://groups.google.com/forum/#!forum/airbnb_superset
>>>>
>>>> Thank you and look forward to the discussion!
>>>>
>>>> Jeff, Max & Alanna
>>>>
>>>>
>>>>
>>>>
>>>> = Superset =
>>>>
>>>> == Abstract ==
>>>>
>>>> Superset is an enterprise-ready web application for data exploration,
>>>>
>>> data
>>>
>>>> visualization and dashboarding.
>>>>
>>>> == Proposal ==
>>>>
>>>> Superset is business intelligence (BI) software that helps modern
>>>> organizations visualize and interact with their data. Superset enables
>>>> users explore data from a variety of databases, assemble beautiful
>>>> dashboards and share their findings. Superset works neatly with all
>>>>
>>> modern
>>>
>>>> SQL-speaking databases, and integrates with Druid.io to provide
>>>>
>>> real-time,
>>>
>>>> interactive, blazing fast data access to large datasets.
>>>>
>>>> == Background ==
>>>>
>>>> Data is mission critical. To succeed in this era, organizations need to
>>>> provide low-friction, intuitive and interactive access to data. It is
>>>> paramount for knowledge workers to be capable of answering their own
>>>> questions by querying, exploring and visualizing data.
>>>>
>>>> The entire business intelligence industry has pivoted from a model of
>>>> centralized top-down platforms driven by IT organizations to
>>>> self-service
>>>> analytics and agile workflows by any user. This shift unblocks
>>>>
>>> centralized
>>>
>>>> service bottlenecks for creating data visualizations while also creating
>>>>
>>> an
>>>
>>>> environment that is iterative and fast-moving. This means that business
>>>> intelligence software must also be easy and delightful to use.
>>>> Self-service analytics doesn’t mean that admin and governance features
>>>>
>>> are
>>>
>>>> not needed.
>>>>
>>>> Modern BI tools provide fine-grain access controls and auditing
>>>> capabilities to understand how data is being used. Superset is a
>>>>
>>> solution
>>>
>>>> that delivers on all of these vectors.
>>>>
>>>> The technology stack is also constantly morphing - vendors are
>>>> struggling
>>>> to provide cheap, quick and easy solutions to access data. Business
>>>> intelligence users are finding existing solutions lacking as these
>>>>
>>> software
>>>
>>>> products either disregard or react slowly to recent game-changing
>>>> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
>>>> React.js and iPython’s Jupyter for instance.
>>>>
>>>> == Rationale ==
>>>>
>>>> Business intelligence is more relevant today than at any other point in
>>>> history. Organizations are currently very limited in options for open
>>>> source data visualization solutions, especially solutions that are both
>>>> self-service and enterprise-ready. Every company informing their
>>>>
>>> decisions
>>>
>>>> with data needs a BI tool.
>>>>
>>>> We believe that Superset will be a strong compliment to existing Apache
>>>> Software Foundation technologies by offering scalable user interactions
>>>>
>>> to
>>>
>>>> distributed storage and computation solutions. Users will often find
>>>>
>>> that
>>>
>>>> Superset can act as a catalyst for tooling that can visualize the
>>>>
>>> byproduct
>>>
>>>> of data and computation infrastructure.
>>>>
>>>> Superset has many key design elements that help fill a gap in current
>>>> solutions for organizations:
>>>>
>>>> * Easy, low friction access to data through a simple, web-based data
>>>> exploration interface. Composing charts and dashboards are intuitive.
>>>> Eliminating the need to write code or SQL empowers anyone to use it.
>>>>
>>>> * Access to a wide array of rich, interactive data visualization types.
>>>>
>>>> * Enterprise-ready: Integration with different authentication mechanisms
>>>> and granular permissions centered around actions and data access.
>>>>
>>>> * Realtime & fast: Superset provides realtime analytics at the speed of
>>>> thought on very large datasets when integrated with Druid.io.
>>>>
>>>> * Broad data access: Consume data out of any SQL-speaking relational
>>>> database.
>>>>
>>>> * Extensible: Can be extended to talk to many noSQL databases like
>>>> Apache
>>>> Drill, Elastic Search, and other popular database engines.
>>>>
>>>> * Fast loading dashboards with configurable web-scale caching.
>>>>
>>>> * Plug-in framework that enables organizations to build custom
>>>> analytical
>>>> applications with new UI/UX interfaces.
>>>>
>>>> * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users
>>>>
>>> with
>>>
>>>> more flexibility. SQL Lab integrates with the visualization engine
>>>> seamlessly.
>>>>
>>>> == Initial Goals ==
>>>>
>>>> The initial goals of the Superset project are several-fold:
>>>>
>>>> Move the existing codebase to Apache and integrate with the Apache
>>>> development process.
>>>>
>>>> Redesign the user interface and interaction model for creating
>>>> visualizations/dashboards and connecting to data sources
>>>>
>>>> Build robust support for security and governance of the tool including
>>>> popular authorization modules (including Apache Ranger and Apache
>>>> Sentry)
>>>> and a more sophisticated permissions system
>>>>
>>>> Grow the extensibility of the project both in terms of enhanced
>>>> connectivity to NoSQL-based data sources and creating a plug-in
>>>> framework
>>>> that enables organizations to build custom analytical applications which
>>>> require a new UI/UX
>>>>
>>>> == Current Status ==
>>>>
>>>> By many standards, Superset is already a successful open source project.
>>>>
>>> As
>>>
>>>> of March 2017, Superset is officially used in production at about a
>>>> dozen
>>>> companies, has received contributions from over one hundred contributors
>>>>
>>> on
>>>
>>>> Github, 1500+ forks, and 12k+ stars.
>>>>
>>>> Sizeable companies like Airbnb, Yahoo! and Hortonworks have made
>>>> significant contributions, and expressed their commitment to the
>>>> project.
>>>> The product is feature complete and has been viable for months. It
>>>>
>>> already
>>>
>>>> serves as the main interface for consuming data at many companies of
>>>> different sizes.
>>>>
>>>> While the product is usable, there’s room for improvement across the
>>>>
>>> board,
>>>
>>>> starting with providing a smoother user experience around content
>>>>
>>> creation,
>>>
>>>> making sure all features work out-of-the-box on more platforms and
>>>> databases, providing better user training guides and videos, having a
>>>> predictable release process, and increasing the overall quality of the
>>>> Superset releases.
>>>>
>>>> === Meritocracy ===
>>>>
>>>> We plan to invest in supporting a meritocracy. We will discuss the
>>>> requirements in an open forum. Several companies have expressed interest
>>>>
>>> in
>>>
>>>> this project, and we intend to invite additional developers to
>>>>
>>> participate.
>>>
>>>> We will encourage and monitor community participation so that privileges
>>>> can be extended to those that contribute.
>>>>
>>>> === Community ===
>>>>
>>>> The need for an enterprise-ready data visualization and exploration
>>>> platform in the open source community is tremendous. While Superset is
>>>> fairly well known, recognized and used within the Druid.io community,
>>>> adoption is currently limited outside of that niche. There is a huge
>>>> opportunity to grow the community to hundreds if not thousands of
>>>> organizations, and we are hoping that embracing “the Apache way” will
>>>> accelerate the growth of our community.
>>>>
>>>> We have already been active at seeking and inviting contributions, and
>>>>
>>> are
>>>
>>>> planning to scale the project by investing time and growing the support
>>>> structure to grow the community.
>>>>
>>>> === Core Developers ===
>>>>
>>>> The initial committers for Superset include experienced full stack,
>>>> front-end and data engineers:
>>>>
>>>> * Maxime Beauchemin (Airbnb)
>>>>
>>>> * Alanna Scott (Airbnb)
>>>>
>>>> * Bogdan Kyryliuk (Airbnb)
>>>>
>>>> * Vera Liu (Airbnb)
>>>>
>>>> * Jeff Feng (Airbnb)
>>>>
>>>> * Ashutosh Chauhan (Hortonworks)
>>>>
>>>> * Nishant Bangarwa (Hortonworks)
>>>>
>>>> * Slim Bouguerra (Hortonworks)
>>>>
>>>> * Priyank Shah (Hortonworks)
>>>>
>>>> * Sriharsha Chintalapani (Hortonworks)
>>>>
>>>> * Daniel Dai (Hortonworks)
>>>>
>>>> We realize that additional employer diversity is needed, and we will
>>>> work
>>>> aggressively to recruit developers from additional companies.
>>>>
>>>> === Alignment ===
>>>>
>>>> The initial committers strongly believe that a system for interactive
>>>> visualization of data will gain broader adoption as an open source,
>>>> community driven project, where the community can contribute not only to
>>>> the core components, but also to a growing collection of connectors,
>>>> visualizations and improving integration a all potential data sources.
>>>> Superset already integrates closely with Apache Hive, the Hive
>>>> metastore,
>>>> as well as most SQL-speaking databases found in modern data ecosystems.
>>>>
>>>> == Known Risks ==
>>>>
>>>> === Orphaned Products ===
>>>>
>>>> Superset is a vital component for both visualizing, accessing and
>>>> democratizing data at Airbnb. Also at Hortonworks, Superset is a core
>>>> component of the DataFlow product offering. Thus, the risk of the
>>>>
>>> project
>>>
>>>> being orphaned is relatively low. The project could be at risk if
>>>> Airbnb
>>>> changes their approach for democratizing data or if Hortonworks changes
>>>> their strategy in the market. In such an event, the committers plan to
>>>> continue working on the project on their own time, thought the progress
>>>> will likely be slower. We plan to mitigate this risk by recruiting
>>>> additional committers.
>>>>
>>>> === Inexperience with Open Source ===
>>>>
>>>> The initial committers include veteran Apache members (committers and
>>>> PMC
>>>> members) and other developers who have varying degrees of experience
>>>> with
>>>> open source projects. All have been involved with source code that has
>>>>
>>> been
>>>
>>>> released under an open source license, and several also have experience
>>>> developing code with an open source development process.
>>>>
>>>> === Homogenous Developers ===
>>>>
>>>> The initial committers are employed by Airbnb Inc., and Hortonworks. We
>>>>
>>> are
>>>
>>>> committed to recruiting additional committers from other companies.
>>>>
>>>> === Reliance on Salaried Developers ===
>>>>
>>>> It is expected that Superset development will occur on both salaried
>>>> time
>>>> and on volunteer time, after hours. The majority of initial committers
>>>>
>>> are
>>>
>>>> paid by their employer to contribute to this project. However, they are
>>>>
>>> all
>>>
>>>> passionate about the project, and we are confident that the project will
>>>> continue even if no salaried developers contribute to the project. We
>>>> are
>>>> committed to recruiting additional committers including non-salaried
>>>> developers.
>>>>
>>>> === Relationships with Other Apache Products ===
>>>>
>>>> To the knowledge of the Initial Committers, there are no direct
>>>>
>>> competitors
>>>
>>>> to Superset within the Apache Software Foundation. That said, Apache
>>>> Zeppelin is an indirect competitor, but it solves a different use case.
>>>>
>>>> Apache Zeppelin is a web-based notebook that enables interactive data
>>>> analytics. It enables the creation of beautiful data-driven, interactive
>>>> and collaborative documents with SQL, Scala and more. Although a user
>>>>
>>> can
>>>
>>>> create data visualizations using this project, it leverages a notebook
>>>> style user interfaces and it is geared towards the Spark community where
>>>> Scala and SQL co-exist
>>>>
>>>> We look forward to collaborating with those communities, as well as
>>>> other
>>>> Apache communities.
>>>>
>>>> === An Excessive Fascination with the Apache Brand ===
>>>>
>>>> Superset is solving two huge challenges:
>>>>
>>>> The challenge of enabling every knowledge worker to make data informed
>>>> decisions, particularly those who are not deeply skilled at writing SQL.
>>>>
>>>> The challenge of visualizing huge amounts of data interactively and in
>>>> real-time
>>>>
>>>> Superset was first developed as a data visualization solution for
>>>>
>>> Druid.io
>>>
>>>> as a way to visualize billions of rows of data. Since then, usage of
>>>> Superset has expanded to address data visualization use cases across SQL
>>>> speaking data sources as well.
>>>>
>>>> Our rationale for developing Superset as an Apache project is detailed
>>>> in
>>>> the Rationale Section. We believe that the Apache brand and community
>>>> process will help us attract more contributors to this project, and help
>>>> grow the footprint of the project through usage at other organizations
>>>>
>>> and
>>>
>>>> within other applications. Establishing consensus among users and
>>>> developers will result in a more valuable tool for everyone.
>>>>
>>>> == Documentation ==
>>>>
>>>> References to further reading material:
>>>>
>>>> * [[http://airbnb.io/superset/|Superset Documentation]]
>>>>
>>>> * [[https://medium.com/airbnb-engineering/caravel-airbnb-s-dat
>>>> a-exploration-platform-15a72aa610e5#.npqmmbu25|Blog Post: Superset:
>>>> Airbnb’s Data Exploration Platform]]
>>>>
>>>> * [[https://medium.com/airbnb-engineering/superset-scaling-dat
>>>> a-access-and-visual-insights-at-airbnb-3ce3e9b88a7f#.a505zvb1t|Blog
>>>>
>>> Post:
>>>
>>>> Superset: Scaling Data Access & Visual Insights at Airbnb]]
>>>>
>>>> == Initial Source ==
>>>>
>>>> The origin of the proposed code base can be found at
>>>> https://github.com/airbnb/superset. The code base is primarily in
>>>>
>>> Python.
>>>
>>>>
>>>> == Source and Intellectual Property Submission Plan ==
>>>>
>>>> We do not expect any complications for the submission of the Superset
>>>>
>>> code
>>>
>>>> base. Our code is already in Github and there is only a single code
>>>>
>>> base.
>>>
>>>>
>>>> == External Dependencies ==
>>>>
>>>> List of Python packages, from the Python Package Index (Pypi):
>>>>
>>>> * boto3
>>>>
>>>> * celery
>>>>
>>>> * cryptography
>>>>
>>>> * flask-appbuilder
>>>>
>>>> * flask-cache
>>>>
>>>> * flask-migrate
>>>>
>>>> * flask-script
>>>>
>>>> * flask-sqlalchemy
>>>>
>>>> * flask-testing
>>>>
>>>> * humanize
>>>>
>>>> * gunicorn
>>>>
>>>> * markdown
>>>>
>>>> * pandas
>>>>
>>>> * parsedatetime
>>>>
>>>> * pydruid
>>>>
>>>> * PyHive
>>>>
>>>> * python-dateutil
>>>>
>>>> * requests
>>>>
>>>> * simplejson
>>>>
>>>> * six
>>>>
>>>> * sqlalchemy
>>>>
>>>> * sqlalchemy-utils
>>>>
>>>> * sqlparse
>>>>
>>>> * thrift
>>>>
>>>> * thrift-sasl
>>>>
>>>> * werkzeug
>>>>
>>>> List of Javascript packages, from NPM:
>>>>
>>>> * autobind-decorator
>>>>
>>>> * bootstrap
>>>>
>>>> * bootstrap-datepicker
>>>>
>>>> * brace
>>>>
>>>> * brfs
>>>>
>>>> * cal-heatmap
>>>>
>>>> * classnames
>>>>
>>>> * d3
>>>>
>>>> * d3-cloud
>>>>
>>>> * d3-sankey
>>>>
>>>> * d3-scale
>>>>
>>>> * d3-tip
>>>>
>>>> * datamaps
>>>>
>>>> * datatables-bootstrap3-plugin
>>>>
>>>> * datatables.net-bs
>>>>
>>>> * font-awesome
>>>>
>>>> * gridster
>>>>
>>>> * immutability-helper
>>>>
>>>> * immutable
>>>>
>>>> * jquery
>>>>
>>>> * lodash.throttle
>>>>
>>>> * mapbox-gl
>>>>
>>>> * moment
>>>>
>>>> * moments
>>>>
>>>> * mustache
>>>>
>>>> * nvd3
>>>>
>>>> * react
>>>>
>>>> * react-ace
>>>>
>>>> * react-bootstrap
>>>>
>>>> * react-bootstrap-table
>>>>
>>>> * react-dom
>>>>
>>>> * react-draggable
>>>>
>>>> * react-gravatar
>>>>
>>>> * react-grid-layout
>>>>
>>>> * react-map-gl
>>>>
>>>> * react-redux
>>>>
>>>> * react-resizable
>>>>
>>>> * react-select
>>>>
>>>> * react-syntax-highlighter
>>>>
>>>> * reactable
>>>>
>>>> * redux
>>>>
>>>> * redux-localstorage
>>>>
>>>> * redux-thunk
>>>>
>>>> * shortid
>>>>
>>>> * style-loader
>>>>
>>>> * supercluster
>>>>
>>>> * topojson
>>>>
>>>> * victory
>>>>
>>>> * viewport-mercator-project
>>>>
>>>> == Cryptography ==
>>>>
>>>> The proposal does not include cryptographic code.
>>>>
>>>> == Required Resources ==
>>>>
>>>> === Mailing List ===
>>>>
>>>> There is a current mailing list as a Google Group “airbnb_superset” that
>>>>
>>> we
>>>
>>>> are planning on deprecating as the Apache.org become ready to serve our
>>>> community.
>>>>
>>>> * superset-private
>>>>
>>>> * superset-dev
>>>>
>>>> * superset-user
>>>>
>>>> === Subversion Directory ===
>>>>
>>>> Git is the preferred source control system.
>>>>
>>> http://svn.apache.org/repos/as
>>>
>>>> f/incubator/superset
>>>>
>>>> == Git Repository ==
>>>>
>>>> Git is the preferred source control system, we’re assuming
>>>> https://github.com/apache/incubator-superset based on the naming scheme
>>>>
>>>> == Issue Tracking ==
>>>>
>>>> JIRA Superset (SUPERSET). If possible, we’d like to use Github issues &
>>>>
>>> PRs
>>>
>>>> to manage our project as much as possible. It’s been said that there are
>>>> ways to keep Github’s issues in sync with Jira, allowing us to get best
>>>>
>>> of
>>>
>>>> both worlds. If that is not possible, we will comply to using Jira.
>>>>
>>>> == Other Resources ==
>>>>
>>>> We currently use a set of Github integrated services that are free to
>>>> the
>>>> open source community, like Travis-ci, Code Climate, Coveralls,
>>>> Landscape.io, Requires.io, david-dm and Gitter. We would like to keep
>>>>
>>> using
>>>
>>>> these services as they allow us to scale contributions and optimize our
>>>> development flows. These services require some elevated rights on the
>>>> Github repository in order to set up or tune and we would like for the
>>>> committers to have the required rights.
>>>>
>>>>
>>>> == Initial Committers ==
>>>>
>>>> * Maxime Beauchemin <ma...@airbnb.com> - PMC & Committer
>>>>
>>>> * Alanna Scott <al...@airbnb.com> - PMC & Committer
>>>>
>>>> * Bogdan Kyryliuk <b....@gmail.com> - PMC & Committer
>>>>
>>>> * Vera Liu <ve...@airbnb.com> - Committer
>>>>
>>>> * Jeff Feng <je...@airbnb.com> - PMC & Committer
>>>>
>>>> * Ashutosh Chauhan <ha...@apache.org> - Mentor & Committer
>>>>
>>>> * Nishant Bangarwa <nb...@hortonworks.com> - PMC & Committer
>>>>
>>>> * Slim Bouguerra <sb...@hortonworks.com> - Committer
>>>>
>>>> * Priyank Shah <ps...@hortonworks.com> - Committer
>>>>
>>>> * Harsha Chintalapani <sc...@hortonworks.com> - Committer
>>>>
>>>> * Daniel Dai <da...@apache.org> - Champion & Committer
>>>>
>>>> == Affiliations ==
>>>>
>>>> The initial committers are employees of Airbnb Inc. and Hortonworks.
>>>>
>>>> == Sponsors ==
>>>>
>>>> === Champion ===
>>>>
>>>> Daniel Dai <da...@apache.org>
>>>>
>>>> === Nominated Mentors ===
>>>>
>>>> Ashutosh Chauhan <ha...@apache.org>
>>>>
>>>> === Sponsoring Entity ===
>>>>
>>>> Incubator PMC
>>>>
>>>>
>>>> --
>>>>
>>>> *Jeff Feng*
>>>> Product Manager
>>>> m: (949)-610-5108 <(949)%20610-5108>
>>>> twitter: @jtfeng
>>>>
>>>>
>>>
>>
> --
> Jean-Baptiste Onofré
> jbonofre@apache.org
> http://blog.nanthrax.net
> Talend - http://www.talend.com
>
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: general-unsubscribe@incubator.apache.org
> For additional commands, e-mail: general-help@incubator.apache.org
>
>
Re: [PROPOSAL] Superset Proposal for Apache Incubator
Posted by Jean-Baptiste Onofré <jb...@nanthrax.net>.
Hi Maxime,
The proposal looks interesting.
Just a note, it's PPMC (not PMC) during incubation.
Are you seeking for other mentor (I see you only have one mentor and one
champion for now) ?
Regards
JB
On 04/12/2017 09:41 PM, Maxime Beauchemin wrote:
> Hi all,
>
> We would love feedback on the proposal. Do the veterans on this mailing
> list think that the proposal is ready for a vote!?
>
> Thanks,
>
> Max
>
> On Tue, Apr 4, 2017 at 5:26 PM, Luke Han <lu...@gmail.com> wrote:
>
>> Hi Jeff,
>> This is great project which have been mentioned many times in
>> community. It looks cool and fun for data works.
>>
>> Thanks to proposal Superset to be Apache Incubator Project, please let
>> me know if there's anything I could help.
>>
>> Thanks.
>> Luke
>>
>>
>> Best Regards!
>> ---------------------
>>
>> Luke Han
>>
>> On Sun, Apr 2, 2017 at 7:45 AM, Jeff Feng <je...@airbnb.com.invalid>
>> wrote:
>>
>>> Dear Apache Incubator Community,
>>>
>>> We are excited to share our proposal for discussion and feedback for
>>> entering Apache Incubation. Superset is an enterprise-ready web
>>> application for data exploration, data visualization and dashboarding.
>>>
>>> Our Incubation proposal is at the following Wiki as well as copied in the
>>> email below:
>>>
>>> https://wiki.apache.org/incubator/SupersetProposal
>>>
>>> We have an active Superset community including 400+ members and nearly
>> 200
>>> topics. The Google Group can be found below. We plan to move the
>>> discussion to the ASF:
>>>
>>> https://groups.google.com/forum/#!forum/airbnb_superset
>>>
>>> Thank you and look forward to the discussion!
>>>
>>> Jeff, Max & Alanna
>>>
>>>
>>>
>>>
>>> = Superset =
>>>
>>> == Abstract ==
>>>
>>> Superset is an enterprise-ready web application for data exploration,
>> data
>>> visualization and dashboarding.
>>>
>>> == Proposal ==
>>>
>>> Superset is business intelligence (BI) software that helps modern
>>> organizations visualize and interact with their data. Superset enables
>>> users explore data from a variety of databases, assemble beautiful
>>> dashboards and share their findings. Superset works neatly with all
>> modern
>>> SQL-speaking databases, and integrates with Druid.io to provide
>> real-time,
>>> interactive, blazing fast data access to large datasets.
>>>
>>> == Background ==
>>>
>>> Data is mission critical. To succeed in this era, organizations need to
>>> provide low-friction, intuitive and interactive access to data. It is
>>> paramount for knowledge workers to be capable of answering their own
>>> questions by querying, exploring and visualizing data.
>>>
>>> The entire business intelligence industry has pivoted from a model of
>>> centralized top-down platforms driven by IT organizations to self-service
>>> analytics and agile workflows by any user. This shift unblocks
>> centralized
>>> service bottlenecks for creating data visualizations while also creating
>> an
>>> environment that is iterative and fast-moving. This means that business
>>> intelligence software must also be easy and delightful to use.
>>> Self-service analytics doesn\u2019t mean that admin and governance features
>> are
>>> not needed.
>>>
>>> Modern BI tools provide fine-grain access controls and auditing
>>> capabilities to understand how data is being used. Superset is a
>> solution
>>> that delivers on all of these vectors.
>>>
>>> The technology stack is also constantly morphing - vendors are struggling
>>> to provide cheap, quick and easy solutions to access data. Business
>>> intelligence users are finding existing solutions lacking as these
>> software
>>> products either disregard or react slowly to recent game-changing
>>> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
>>> React.js and iPython\u2019s Jupyter for instance.
>>>
>>> == Rationale ==
>>>
>>> Business intelligence is more relevant today than at any other point in
>>> history. Organizations are currently very limited in options for open
>>> source data visualization solutions, especially solutions that are both
>>> self-service and enterprise-ready. Every company informing their
>> decisions
>>> with data needs a BI tool.
>>>
>>> We believe that Superset will be a strong compliment to existing Apache
>>> Software Foundation technologies by offering scalable user interactions
>> to
>>> distributed storage and computation solutions. Users will often find
>> that
>>> Superset can act as a catalyst for tooling that can visualize the
>> byproduct
>>> of data and computation infrastructure.
>>>
>>> Superset has many key design elements that help fill a gap in current
>>> solutions for organizations:
>>>
>>> * Easy, low friction access to data through a simple, web-based data
>>> exploration interface. Composing charts and dashboards are intuitive.
>>> Eliminating the need to write code or SQL empowers anyone to use it.
>>>
>>> * Access to a wide array of rich, interactive data visualization types.
>>>
>>> * Enterprise-ready: Integration with different authentication mechanisms
>>> and granular permissions centered around actions and data access.
>>>
>>> * Realtime & fast: Superset provides realtime analytics at the speed of
>>> thought on very large datasets when integrated with Druid.io.
>>>
>>> * Broad data access: Consume data out of any SQL-speaking relational
>>> database.
>>>
>>> * Extensible: Can be extended to talk to many noSQL databases like Apache
>>> Drill, Elastic Search, and other popular database engines.
>>>
>>> * Fast loading dashboards with configurable web-scale caching.
>>>
>>> * Plug-in framework that enables organizations to build custom analytical
>>> applications with new UI/UX interfaces.
>>>
>>> * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users
>> with
>>> more flexibility. SQL Lab integrates with the visualization engine
>>> seamlessly.
>>>
>>> == Initial Goals ==
>>>
>>> The initial goals of the Superset project are several-fold:
>>>
>>> Move the existing codebase to Apache and integrate with the Apache
>>> development process.
>>>
>>> Redesign the user interface and interaction model for creating
>>> visualizations/dashboards and connecting to data sources
>>>
>>> Build robust support for security and governance of the tool including
>>> popular authorization modules (including Apache Ranger and Apache Sentry)
>>> and a more sophisticated permissions system
>>>
>>> Grow the extensibility of the project both in terms of enhanced
>>> connectivity to NoSQL-based data sources and creating a plug-in framework
>>> that enables organizations to build custom analytical applications which
>>> require a new UI/UX
>>>
>>> == Current Status ==
>>>
>>> By many standards, Superset is already a successful open source project.
>> As
>>> of March 2017, Superset is officially used in production at about a dozen
>>> companies, has received contributions from over one hundred contributors
>> on
>>> Github, 1500+ forks, and 12k+ stars.
>>>
>>> Sizeable companies like Airbnb, Yahoo! and Hortonworks have made
>>> significant contributions, and expressed their commitment to the project.
>>> The product is feature complete and has been viable for months. It
>> already
>>> serves as the main interface for consuming data at many companies of
>>> different sizes.
>>>
>>> While the product is usable, there\u2019s room for improvement across the
>> board,
>>> starting with providing a smoother user experience around content
>> creation,
>>> making sure all features work out-of-the-box on more platforms and
>>> databases, providing better user training guides and videos, having a
>>> predictable release process, and increasing the overall quality of the
>>> Superset releases.
>>>
>>> === Meritocracy ===
>>>
>>> We plan to invest in supporting a meritocracy. We will discuss the
>>> requirements in an open forum. Several companies have expressed interest
>> in
>>> this project, and we intend to invite additional developers to
>> participate.
>>> We will encourage and monitor community participation so that privileges
>>> can be extended to those that contribute.
>>>
>>> === Community ===
>>>
>>> The need for an enterprise-ready data visualization and exploration
>>> platform in the open source community is tremendous. While Superset is
>>> fairly well known, recognized and used within the Druid.io community,
>>> adoption is currently limited outside of that niche. There is a huge
>>> opportunity to grow the community to hundreds if not thousands of
>>> organizations, and we are hoping that embracing \u201cthe Apache way\u201d will
>>> accelerate the growth of our community.
>>>
>>> We have already been active at seeking and inviting contributions, and
>> are
>>> planning to scale the project by investing time and growing the support
>>> structure to grow the community.
>>>
>>> === Core Developers ===
>>>
>>> The initial committers for Superset include experienced full stack,
>>> front-end and data engineers:
>>>
>>> * Maxime Beauchemin (Airbnb)
>>>
>>> * Alanna Scott (Airbnb)
>>>
>>> * Bogdan Kyryliuk (Airbnb)
>>>
>>> * Vera Liu (Airbnb)
>>>
>>> * Jeff Feng (Airbnb)
>>>
>>> * Ashutosh Chauhan (Hortonworks)
>>>
>>> * Nishant Bangarwa (Hortonworks)
>>>
>>> * Slim Bouguerra (Hortonworks)
>>>
>>> * Priyank Shah (Hortonworks)
>>>
>>> * Sriharsha Chintalapani (Hortonworks)
>>>
>>> * Daniel Dai (Hortonworks)
>>>
>>> We realize that additional employer diversity is needed, and we will work
>>> aggressively to recruit developers from additional companies.
>>>
>>> === Alignment ===
>>>
>>> The initial committers strongly believe that a system for interactive
>>> visualization of data will gain broader adoption as an open source,
>>> community driven project, where the community can contribute not only to
>>> the core components, but also to a growing collection of connectors,
>>> visualizations and improving integration a all potential data sources.
>>> Superset already integrates closely with Apache Hive, the Hive metastore,
>>> as well as most SQL-speaking databases found in modern data ecosystems.
>>>
>>> == Known Risks ==
>>>
>>> === Orphaned Products ===
>>>
>>> Superset is a vital component for both visualizing, accessing and
>>> democratizing data at Airbnb. Also at Hortonworks, Superset is a core
>>> component of the DataFlow product offering. Thus, the risk of the
>> project
>>> being orphaned is relatively low. The project could be at risk if Airbnb
>>> changes their approach for democratizing data or if Hortonworks changes
>>> their strategy in the market. In such an event, the committers plan to
>>> continue working on the project on their own time, thought the progress
>>> will likely be slower. We plan to mitigate this risk by recruiting
>>> additional committers.
>>>
>>> === Inexperience with Open Source ===
>>>
>>> The initial committers include veteran Apache members (committers and PMC
>>> members) and other developers who have varying degrees of experience with
>>> open source projects. All have been involved with source code that has
>> been
>>> released under an open source license, and several also have experience
>>> developing code with an open source development process.
>>>
>>> === Homogenous Developers ===
>>>
>>> The initial committers are employed by Airbnb Inc., and Hortonworks. We
>> are
>>> committed to recruiting additional committers from other companies.
>>>
>>> === Reliance on Salaried Developers ===
>>>
>>> It is expected that Superset development will occur on both salaried time
>>> and on volunteer time, after hours. The majority of initial committers
>> are
>>> paid by their employer to contribute to this project. However, they are
>> all
>>> passionate about the project, and we are confident that the project will
>>> continue even if no salaried developers contribute to the project. We are
>>> committed to recruiting additional committers including non-salaried
>>> developers.
>>>
>>> === Relationships with Other Apache Products ===
>>>
>>> To the knowledge of the Initial Committers, there are no direct
>> competitors
>>> to Superset within the Apache Software Foundation. That said, Apache
>>> Zeppelin is an indirect competitor, but it solves a different use case.
>>>
>>> Apache Zeppelin is a web-based notebook that enables interactive data
>>> analytics. It enables the creation of beautiful data-driven, interactive
>>> and collaborative documents with SQL, Scala and more. Although a user
>> can
>>> create data visualizations using this project, it leverages a notebook
>>> style user interfaces and it is geared towards the Spark community where
>>> Scala and SQL co-exist
>>>
>>> We look forward to collaborating with those communities, as well as other
>>> Apache communities.
>>>
>>> === An Excessive Fascination with the Apache Brand ===
>>>
>>> Superset is solving two huge challenges:
>>>
>>> The challenge of enabling every knowledge worker to make data informed
>>> decisions, particularly those who are not deeply skilled at writing SQL.
>>>
>>> The challenge of visualizing huge amounts of data interactively and in
>>> real-time
>>>
>>> Superset was first developed as a data visualization solution for
>> Druid.io
>>> as a way to visualize billions of rows of data. Since then, usage of
>>> Superset has expanded to address data visualization use cases across SQL
>>> speaking data sources as well.
>>>
>>> Our rationale for developing Superset as an Apache project is detailed in
>>> the Rationale Section. We believe that the Apache brand and community
>>> process will help us attract more contributors to this project, and help
>>> grow the footprint of the project through usage at other organizations
>> and
>>> within other applications. Establishing consensus among users and
>>> developers will result in a more valuable tool for everyone.
>>>
>>> == Documentation ==
>>>
>>> References to further reading material:
>>>
>>> * [[http://airbnb.io/superset/|Superset Documentation]]
>>>
>>> * [[https://medium.com/airbnb-engineering/caravel-airbnb-s-dat
>>> a-exploration-platform-15a72aa610e5#.npqmmbu25|Blog Post: Superset:
>>> Airbnb\u2019s Data Exploration Platform]]
>>>
>>> * [[https://medium.com/airbnb-engineering/superset-scaling-dat
>>> a-access-and-visual-insights-at-airbnb-3ce3e9b88a7f#.a505zvb1t|Blog
>> Post:
>>> Superset: Scaling Data Access & Visual Insights at Airbnb]]
>>>
>>> == Initial Source ==
>>>
>>> The origin of the proposed code base can be found at
>>> https://github.com/airbnb/superset. The code base is primarily in
>> Python.
>>>
>>> == Source and Intellectual Property Submission Plan ==
>>>
>>> We do not expect any complications for the submission of the Superset
>> code
>>> base. Our code is already in Github and there is only a single code
>> base.
>>>
>>> == External Dependencies ==
>>>
>>> List of Python packages, from the Python Package Index (Pypi):
>>>
>>> * boto3
>>>
>>> * celery
>>>
>>> * cryptography
>>>
>>> * flask-appbuilder
>>>
>>> * flask-cache
>>>
>>> * flask-migrate
>>>
>>> * flask-script
>>>
>>> * flask-sqlalchemy
>>>
>>> * flask-testing
>>>
>>> * humanize
>>>
>>> * gunicorn
>>>
>>> * markdown
>>>
>>> * pandas
>>>
>>> * parsedatetime
>>>
>>> * pydruid
>>>
>>> * PyHive
>>>
>>> * python-dateutil
>>>
>>> * requests
>>>
>>> * simplejson
>>>
>>> * six
>>>
>>> * sqlalchemy
>>>
>>> * sqlalchemy-utils
>>>
>>> * sqlparse
>>>
>>> * thrift
>>>
>>> * thrift-sasl
>>>
>>> * werkzeug
>>>
>>> List of Javascript packages, from NPM:
>>>
>>> * autobind-decorator
>>>
>>> * bootstrap
>>>
>>> * bootstrap-datepicker
>>>
>>> * brace
>>>
>>> * brfs
>>>
>>> * cal-heatmap
>>>
>>> * classnames
>>>
>>> * d3
>>>
>>> * d3-cloud
>>>
>>> * d3-sankey
>>>
>>> * d3-scale
>>>
>>> * d3-tip
>>>
>>> * datamaps
>>>
>>> * datatables-bootstrap3-plugin
>>>
>>> * datatables.net-bs
>>>
>>> * font-awesome
>>>
>>> * gridster
>>>
>>> * immutability-helper
>>>
>>> * immutable
>>>
>>> * jquery
>>>
>>> * lodash.throttle
>>>
>>> * mapbox-gl
>>>
>>> * moment
>>>
>>> * moments
>>>
>>> * mustache
>>>
>>> * nvd3
>>>
>>> * react
>>>
>>> * react-ace
>>>
>>> * react-bootstrap
>>>
>>> * react-bootstrap-table
>>>
>>> * react-dom
>>>
>>> * react-draggable
>>>
>>> * react-gravatar
>>>
>>> * react-grid-layout
>>>
>>> * react-map-gl
>>>
>>> * react-redux
>>>
>>> * react-resizable
>>>
>>> * react-select
>>>
>>> * react-syntax-highlighter
>>>
>>> * reactable
>>>
>>> * redux
>>>
>>> * redux-localstorage
>>>
>>> * redux-thunk
>>>
>>> * shortid
>>>
>>> * style-loader
>>>
>>> * supercluster
>>>
>>> * topojson
>>>
>>> * victory
>>>
>>> * viewport-mercator-project
>>>
>>> == Cryptography ==
>>>
>>> The proposal does not include cryptographic code.
>>>
>>> == Required Resources ==
>>>
>>> === Mailing List ===
>>>
>>> There is a current mailing list as a Google Group \u201cairbnb_superset\u201d that
>> we
>>> are planning on deprecating as the Apache.org become ready to serve our
>>> community.
>>>
>>> * superset-private
>>>
>>> * superset-dev
>>>
>>> * superset-user
>>>
>>> === Subversion Directory ===
>>>
>>> Git is the preferred source control system.
>> http://svn.apache.org/repos/as
>>> f/incubator/superset
>>>
>>> == Git Repository ==
>>>
>>> Git is the preferred source control system, we\u2019re assuming
>>> https://github.com/apache/incubator-superset based on the naming scheme
>>>
>>> == Issue Tracking ==
>>>
>>> JIRA Superset (SUPERSET). If possible, we\u2019d like to use Github issues &
>> PRs
>>> to manage our project as much as possible. It\u2019s been said that there are
>>> ways to keep Github\u2019s issues in sync with Jira, allowing us to get best
>> of
>>> both worlds. If that is not possible, we will comply to using Jira.
>>>
>>> == Other Resources ==
>>>
>>> We currently use a set of Github integrated services that are free to the
>>> open source community, like Travis-ci, Code Climate, Coveralls,
>>> Landscape.io, Requires.io, david-dm and Gitter. We would like to keep
>> using
>>> these services as they allow us to scale contributions and optimize our
>>> development flows. These services require some elevated rights on the
>>> Github repository in order to set up or tune and we would like for the
>>> committers to have the required rights.
>>>
>>>
>>> == Initial Committers ==
>>>
>>> * Maxime Beauchemin <ma...@airbnb.com> - PMC & Committer
>>>
>>> * Alanna Scott <al...@airbnb.com> - PMC & Committer
>>>
>>> * Bogdan Kyryliuk <b....@gmail.com> - PMC & Committer
>>>
>>> * Vera Liu <ve...@airbnb.com> - Committer
>>>
>>> * Jeff Feng <je...@airbnb.com> - PMC & Committer
>>>
>>> * Ashutosh Chauhan <ha...@apache.org> - Mentor & Committer
>>>
>>> * Nishant Bangarwa <nb...@hortonworks.com> - PMC & Committer
>>>
>>> * Slim Bouguerra <sb...@hortonworks.com> - Committer
>>>
>>> * Priyank Shah <ps...@hortonworks.com> - Committer
>>>
>>> * Harsha Chintalapani <sc...@hortonworks.com> - Committer
>>>
>>> * Daniel Dai <da...@apache.org> - Champion & Committer
>>>
>>> == Affiliations ==
>>>
>>> The initial committers are employees of Airbnb Inc. and Hortonworks.
>>>
>>> == Sponsors ==
>>>
>>> === Champion ===
>>>
>>> Daniel Dai <da...@apache.org>
>>>
>>> === Nominated Mentors ===
>>>
>>> Ashutosh Chauhan <ha...@apache.org>
>>>
>>> === Sponsoring Entity ===
>>>
>>> Incubator PMC
>>>
>>>
>>> --
>>>
>>> *Jeff Feng*
>>> Product Manager
>>> m: (949)-610-5108 <(949)%20610-5108>
>>> twitter: @jtfeng
>>>
>>
>
--
Jean-Baptiste Onofr�
jbonofre@apache.org
http://blog.nanthrax.net
Talend - http://www.talend.com
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Re: [PROPOSAL] Superset Proposal for Apache Incubator
Posted by Maxime Beauchemin <ma...@gmail.com>.
Hi all,
We would love feedback on the proposal. Do the veterans on this mailing
list think that the proposal is ready for a vote!?
Thanks,
Max
On Tue, Apr 4, 2017 at 5:26 PM, Luke Han <lu...@gmail.com> wrote:
> Hi Jeff,
> This is great project which have been mentioned many times in
> community. It looks cool and fun for data works.
>
> Thanks to proposal Superset to be Apache Incubator Project, please let
> me know if there's anything I could help.
>
> Thanks.
> Luke
>
>
> Best Regards!
> ---------------------
>
> Luke Han
>
> On Sun, Apr 2, 2017 at 7:45 AM, Jeff Feng <je...@airbnb.com.invalid>
> wrote:
>
> > Dear Apache Incubator Community,
> >
> > We are excited to share our proposal for discussion and feedback for
> > entering Apache Incubation. Superset is an enterprise-ready web
> > application for data exploration, data visualization and dashboarding.
> >
> > Our Incubation proposal is at the following Wiki as well as copied in the
> > email below:
> >
> > https://wiki.apache.org/incubator/SupersetProposal
> >
> > We have an active Superset community including 400+ members and nearly
> 200
> > topics. The Google Group can be found below. We plan to move the
> > discussion to the ASF:
> >
> > https://groups.google.com/forum/#!forum/airbnb_superset
> >
> > Thank you and look forward to the discussion!
> >
> > Jeff, Max & Alanna
> >
> >
> >
> >
> > = Superset =
> >
> > == Abstract ==
> >
> > Superset is an enterprise-ready web application for data exploration,
> data
> > visualization and dashboarding.
> >
> > == Proposal ==
> >
> > Superset is business intelligence (BI) software that helps modern
> > organizations visualize and interact with their data. Superset enables
> > users explore data from a variety of databases, assemble beautiful
> > dashboards and share their findings. Superset works neatly with all
> modern
> > SQL-speaking databases, and integrates with Druid.io to provide
> real-time,
> > interactive, blazing fast data access to large datasets.
> >
> > == Background ==
> >
> > Data is mission critical. To succeed in this era, organizations need to
> > provide low-friction, intuitive and interactive access to data. It is
> > paramount for knowledge workers to be capable of answering their own
> > questions by querying, exploring and visualizing data.
> >
> > The entire business intelligence industry has pivoted from a model of
> > centralized top-down platforms driven by IT organizations to self-service
> > analytics and agile workflows by any user. This shift unblocks
> centralized
> > service bottlenecks for creating data visualizations while also creating
> an
> > environment that is iterative and fast-moving. This means that business
> > intelligence software must also be easy and delightful to use.
> > Self-service analytics doesn’t mean that admin and governance features
> are
> > not needed.
> >
> > Modern BI tools provide fine-grain access controls and auditing
> > capabilities to understand how data is being used. Superset is a
> solution
> > that delivers on all of these vectors.
> >
> > The technology stack is also constantly morphing - vendors are struggling
> > to provide cheap, quick and easy solutions to access data. Business
> > intelligence users are finding existing solutions lacking as these
> software
> > products either disregard or react slowly to recent game-changing
> > technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
> > React.js and iPython’s Jupyter for instance.
> >
> > == Rationale ==
> >
> > Business intelligence is more relevant today than at any other point in
> > history. Organizations are currently very limited in options for open
> > source data visualization solutions, especially solutions that are both
> > self-service and enterprise-ready. Every company informing their
> decisions
> > with data needs a BI tool.
> >
> > We believe that Superset will be a strong compliment to existing Apache
> > Software Foundation technologies by offering scalable user interactions
> to
> > distributed storage and computation solutions. Users will often find
> that
> > Superset can act as a catalyst for tooling that can visualize the
> byproduct
> > of data and computation infrastructure.
> >
> > Superset has many key design elements that help fill a gap in current
> > solutions for organizations:
> >
> > * Easy, low friction access to data through a simple, web-based data
> > exploration interface. Composing charts and dashboards are intuitive.
> > Eliminating the need to write code or SQL empowers anyone to use it.
> >
> > * Access to a wide array of rich, interactive data visualization types.
> >
> > * Enterprise-ready: Integration with different authentication mechanisms
> > and granular permissions centered around actions and data access.
> >
> > * Realtime & fast: Superset provides realtime analytics at the speed of
> > thought on very large datasets when integrated with Druid.io.
> >
> > * Broad data access: Consume data out of any SQL-speaking relational
> > database.
> >
> > * Extensible: Can be extended to talk to many noSQL databases like Apache
> > Drill, Elastic Search, and other popular database engines.
> >
> > * Fast loading dashboards with configurable web-scale caching.
> >
> > * Plug-in framework that enables organizations to build custom analytical
> > applications with new UI/UX interfaces.
> >
> > * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users
> with
> > more flexibility. SQL Lab integrates with the visualization engine
> > seamlessly.
> >
> > == Initial Goals ==
> >
> > The initial goals of the Superset project are several-fold:
> >
> > Move the existing codebase to Apache and integrate with the Apache
> > development process.
> >
> > Redesign the user interface and interaction model for creating
> > visualizations/dashboards and connecting to data sources
> >
> > Build robust support for security and governance of the tool including
> > popular authorization modules (including Apache Ranger and Apache Sentry)
> > and a more sophisticated permissions system
> >
> > Grow the extensibility of the project both in terms of enhanced
> > connectivity to NoSQL-based data sources and creating a plug-in framework
> > that enables organizations to build custom analytical applications which
> > require a new UI/UX
> >
> > == Current Status ==
> >
> > By many standards, Superset is already a successful open source project.
> As
> > of March 2017, Superset is officially used in production at about a dozen
> > companies, has received contributions from over one hundred contributors
> on
> > Github, 1500+ forks, and 12k+ stars.
> >
> > Sizeable companies like Airbnb, Yahoo! and Hortonworks have made
> > significant contributions, and expressed their commitment to the project.
> > The product is feature complete and has been viable for months. It
> already
> > serves as the main interface for consuming data at many companies of
> > different sizes.
> >
> > While the product is usable, there’s room for improvement across the
> board,
> > starting with providing a smoother user experience around content
> creation,
> > making sure all features work out-of-the-box on more platforms and
> > databases, providing better user training guides and videos, having a
> > predictable release process, and increasing the overall quality of the
> > Superset releases.
> >
> > === Meritocracy ===
> >
> > We plan to invest in supporting a meritocracy. We will discuss the
> > requirements in an open forum. Several companies have expressed interest
> in
> > this project, and we intend to invite additional developers to
> participate.
> > We will encourage and monitor community participation so that privileges
> > can be extended to those that contribute.
> >
> > === Community ===
> >
> > The need for an enterprise-ready data visualization and exploration
> > platform in the open source community is tremendous. While Superset is
> > fairly well known, recognized and used within the Druid.io community,
> > adoption is currently limited outside of that niche. There is a huge
> > opportunity to grow the community to hundreds if not thousands of
> > organizations, and we are hoping that embracing “the Apache way” will
> > accelerate the growth of our community.
> >
> > We have already been active at seeking and inviting contributions, and
> are
> > planning to scale the project by investing time and growing the support
> > structure to grow the community.
> >
> > === Core Developers ===
> >
> > The initial committers for Superset include experienced full stack,
> > front-end and data engineers:
> >
> > * Maxime Beauchemin (Airbnb)
> >
> > * Alanna Scott (Airbnb)
> >
> > * Bogdan Kyryliuk (Airbnb)
> >
> > * Vera Liu (Airbnb)
> >
> > * Jeff Feng (Airbnb)
> >
> > * Ashutosh Chauhan (Hortonworks)
> >
> > * Nishant Bangarwa (Hortonworks)
> >
> > * Slim Bouguerra (Hortonworks)
> >
> > * Priyank Shah (Hortonworks)
> >
> > * Sriharsha Chintalapani (Hortonworks)
> >
> > * Daniel Dai (Hortonworks)
> >
> > We realize that additional employer diversity is needed, and we will work
> > aggressively to recruit developers from additional companies.
> >
> > === Alignment ===
> >
> > The initial committers strongly believe that a system for interactive
> > visualization of data will gain broader adoption as an open source,
> > community driven project, where the community can contribute not only to
> > the core components, but also to a growing collection of connectors,
> > visualizations and improving integration a all potential data sources.
> > Superset already integrates closely with Apache Hive, the Hive metastore,
> > as well as most SQL-speaking databases found in modern data ecosystems.
> >
> > == Known Risks ==
> >
> > === Orphaned Products ===
> >
> > Superset is a vital component for both visualizing, accessing and
> > democratizing data at Airbnb. Also at Hortonworks, Superset is a core
> > component of the DataFlow product offering. Thus, the risk of the
> project
> > being orphaned is relatively low. The project could be at risk if Airbnb
> > changes their approach for democratizing data or if Hortonworks changes
> > their strategy in the market. In such an event, the committers plan to
> > continue working on the project on their own time, thought the progress
> > will likely be slower. We plan to mitigate this risk by recruiting
> > additional committers.
> >
> > === Inexperience with Open Source ===
> >
> > The initial committers include veteran Apache members (committers and PMC
> > members) and other developers who have varying degrees of experience with
> > open source projects. All have been involved with source code that has
> been
> > released under an open source license, and several also have experience
> > developing code with an open source development process.
> >
> > === Homogenous Developers ===
> >
> > The initial committers are employed by Airbnb Inc., and Hortonworks. We
> are
> > committed to recruiting additional committers from other companies.
> >
> > === Reliance on Salaried Developers ===
> >
> > It is expected that Superset development will occur on both salaried time
> > and on volunteer time, after hours. The majority of initial committers
> are
> > paid by their employer to contribute to this project. However, they are
> all
> > passionate about the project, and we are confident that the project will
> > continue even if no salaried developers contribute to the project. We are
> > committed to recruiting additional committers including non-salaried
> > developers.
> >
> > === Relationships with Other Apache Products ===
> >
> > To the knowledge of the Initial Committers, there are no direct
> competitors
> > to Superset within the Apache Software Foundation. That said, Apache
> > Zeppelin is an indirect competitor, but it solves a different use case.
> >
> > Apache Zeppelin is a web-based notebook that enables interactive data
> > analytics. It enables the creation of beautiful data-driven, interactive
> > and collaborative documents with SQL, Scala and more. Although a user
> can
> > create data visualizations using this project, it leverages a notebook
> > style user interfaces and it is geared towards the Spark community where
> > Scala and SQL co-exist
> >
> > We look forward to collaborating with those communities, as well as other
> > Apache communities.
> >
> > === An Excessive Fascination with the Apache Brand ===
> >
> > Superset is solving two huge challenges:
> >
> > The challenge of enabling every knowledge worker to make data informed
> > decisions, particularly those who are not deeply skilled at writing SQL.
> >
> > The challenge of visualizing huge amounts of data interactively and in
> > real-time
> >
> > Superset was first developed as a data visualization solution for
> Druid.io
> > as a way to visualize billions of rows of data. Since then, usage of
> > Superset has expanded to address data visualization use cases across SQL
> > speaking data sources as well.
> >
> > Our rationale for developing Superset as an Apache project is detailed in
> > the Rationale Section. We believe that the Apache brand and community
> > process will help us attract more contributors to this project, and help
> > grow the footprint of the project through usage at other organizations
> and
> > within other applications. Establishing consensus among users and
> > developers will result in a more valuable tool for everyone.
> >
> > == Documentation ==
> >
> > References to further reading material:
> >
> > * [[http://airbnb.io/superset/|Superset Documentation]]
> >
> > * [[https://medium.com/airbnb-engineering/caravel-airbnb-s-dat
> > a-exploration-platform-15a72aa610e5#.npqmmbu25|Blog Post: Superset:
> > Airbnb’s Data Exploration Platform]]
> >
> > * [[https://medium.com/airbnb-engineering/superset-scaling-dat
> > a-access-and-visual-insights-at-airbnb-3ce3e9b88a7f#.a505zvb1t|Blog
> Post:
> > Superset: Scaling Data Access & Visual Insights at Airbnb]]
> >
> > == Initial Source ==
> >
> > The origin of the proposed code base can be found at
> > https://github.com/airbnb/superset. The code base is primarily in
> Python.
> >
> > == Source and Intellectual Property Submission Plan ==
> >
> > We do not expect any complications for the submission of the Superset
> code
> > base. Our code is already in Github and there is only a single code
> base.
> >
> > == External Dependencies ==
> >
> > List of Python packages, from the Python Package Index (Pypi):
> >
> > * boto3
> >
> > * celery
> >
> > * cryptography
> >
> > * flask-appbuilder
> >
> > * flask-cache
> >
> > * flask-migrate
> >
> > * flask-script
> >
> > * flask-sqlalchemy
> >
> > * flask-testing
> >
> > * humanize
> >
> > * gunicorn
> >
> > * markdown
> >
> > * pandas
> >
> > * parsedatetime
> >
> > * pydruid
> >
> > * PyHive
> >
> > * python-dateutil
> >
> > * requests
> >
> > * simplejson
> >
> > * six
> >
> > * sqlalchemy
> >
> > * sqlalchemy-utils
> >
> > * sqlparse
> >
> > * thrift
> >
> > * thrift-sasl
> >
> > * werkzeug
> >
> > List of Javascript packages, from NPM:
> >
> > * autobind-decorator
> >
> > * bootstrap
> >
> > * bootstrap-datepicker
> >
> > * brace
> >
> > * brfs
> >
> > * cal-heatmap
> >
> > * classnames
> >
> > * d3
> >
> > * d3-cloud
> >
> > * d3-sankey
> >
> > * d3-scale
> >
> > * d3-tip
> >
> > * datamaps
> >
> > * datatables-bootstrap3-plugin
> >
> > * datatables.net-bs
> >
> > * font-awesome
> >
> > * gridster
> >
> > * immutability-helper
> >
> > * immutable
> >
> > * jquery
> >
> > * lodash.throttle
> >
> > * mapbox-gl
> >
> > * moment
> >
> > * moments
> >
> > * mustache
> >
> > * nvd3
> >
> > * react
> >
> > * react-ace
> >
> > * react-bootstrap
> >
> > * react-bootstrap-table
> >
> > * react-dom
> >
> > * react-draggable
> >
> > * react-gravatar
> >
> > * react-grid-layout
> >
> > * react-map-gl
> >
> > * react-redux
> >
> > * react-resizable
> >
> > * react-select
> >
> > * react-syntax-highlighter
> >
> > * reactable
> >
> > * redux
> >
> > * redux-localstorage
> >
> > * redux-thunk
> >
> > * shortid
> >
> > * style-loader
> >
> > * supercluster
> >
> > * topojson
> >
> > * victory
> >
> > * viewport-mercator-project
> >
> > == Cryptography ==
> >
> > The proposal does not include cryptographic code.
> >
> > == Required Resources ==
> >
> > === Mailing List ===
> >
> > There is a current mailing list as a Google Group “airbnb_superset” that
> we
> > are planning on deprecating as the Apache.org become ready to serve our
> > community.
> >
> > * superset-private
> >
> > * superset-dev
> >
> > * superset-user
> >
> > === Subversion Directory ===
> >
> > Git is the preferred source control system.
> http://svn.apache.org/repos/as
> > f/incubator/superset
> >
> > == Git Repository ==
> >
> > Git is the preferred source control system, we’re assuming
> > https://github.com/apache/incubator-superset based on the naming scheme
> >
> > == Issue Tracking ==
> >
> > JIRA Superset (SUPERSET). If possible, we’d like to use Github issues &
> PRs
> > to manage our project as much as possible. It’s been said that there are
> > ways to keep Github’s issues in sync with Jira, allowing us to get best
> of
> > both worlds. If that is not possible, we will comply to using Jira.
> >
> > == Other Resources ==
> >
> > We currently use a set of Github integrated services that are free to the
> > open source community, like Travis-ci, Code Climate, Coveralls,
> > Landscape.io, Requires.io, david-dm and Gitter. We would like to keep
> using
> > these services as they allow us to scale contributions and optimize our
> > development flows. These services require some elevated rights on the
> > Github repository in order to set up or tune and we would like for the
> > committers to have the required rights.
> >
> >
> > == Initial Committers ==
> >
> > * Maxime Beauchemin <ma...@airbnb.com> - PMC & Committer
> >
> > * Alanna Scott <al...@airbnb.com> - PMC & Committer
> >
> > * Bogdan Kyryliuk <b....@gmail.com> - PMC & Committer
> >
> > * Vera Liu <ve...@airbnb.com> - Committer
> >
> > * Jeff Feng <je...@airbnb.com> - PMC & Committer
> >
> > * Ashutosh Chauhan <ha...@apache.org> - Mentor & Committer
> >
> > * Nishant Bangarwa <nb...@hortonworks.com> - PMC & Committer
> >
> > * Slim Bouguerra <sb...@hortonworks.com> - Committer
> >
> > * Priyank Shah <ps...@hortonworks.com> - Committer
> >
> > * Harsha Chintalapani <sc...@hortonworks.com> - Committer
> >
> > * Daniel Dai <da...@apache.org> - Champion & Committer
> >
> > == Affiliations ==
> >
> > The initial committers are employees of Airbnb Inc. and Hortonworks.
> >
> > == Sponsors ==
> >
> > === Champion ===
> >
> > Daniel Dai <da...@apache.org>
> >
> > === Nominated Mentors ===
> >
> > Ashutosh Chauhan <ha...@apache.org>
> >
> > === Sponsoring Entity ===
> >
> > Incubator PMC
> >
> >
> > --
> >
> > *Jeff Feng*
> > Product Manager
> > m: (949)-610-5108 <(949)%20610-5108>
> > twitter: @jtfeng
> >
>
Re: [PROPOSAL] Superset Proposal for Apache Incubator
Posted by Luke Han <lu...@gmail.com>.
Hi Jeff,
This is great project which have been mentioned many times in
community. It looks cool and fun for data works.
Thanks to proposal Superset to be Apache Incubator Project, please let
me know if there's anything I could help.
Thanks.
Luke
Best Regards!
---------------------
Luke Han
On Sun, Apr 2, 2017 at 7:45 AM, Jeff Feng <je...@airbnb.com.invalid>
wrote:
> Dear Apache Incubator Community,
>
> We are excited to share our proposal for discussion and feedback for
> entering Apache Incubation. Superset is an enterprise-ready web
> application for data exploration, data visualization and dashboarding.
>
> Our Incubation proposal is at the following Wiki as well as copied in the
> email below:
>
> https://wiki.apache.org/incubator/SupersetProposal
>
> We have an active Superset community including 400+ members and nearly 200
> topics. The Google Group can be found below. We plan to move the
> discussion to the ASF:
>
> https://groups.google.com/forum/#!forum/airbnb_superset
>
> Thank you and look forward to the discussion!
>
> Jeff, Max & Alanna
>
>
>
>
> = Superset =
>
> == Abstract ==
>
> Superset is an enterprise-ready web application for data exploration, data
> visualization and dashboarding.
>
> == Proposal ==
>
> Superset is business intelligence (BI) software that helps modern
> organizations visualize and interact with their data. Superset enables
> users explore data from a variety of databases, assemble beautiful
> dashboards and share their findings. Superset works neatly with all modern
> SQL-speaking databases, and integrates with Druid.io to provide real-time,
> interactive, blazing fast data access to large datasets.
>
> == Background ==
>
> Data is mission critical. To succeed in this era, organizations need to
> provide low-friction, intuitive and interactive access to data. It is
> paramount for knowledge workers to be capable of answering their own
> questions by querying, exploring and visualizing data.
>
> The entire business intelligence industry has pivoted from a model of
> centralized top-down platforms driven by IT organizations to self-service
> analytics and agile workflows by any user. This shift unblocks centralized
> service bottlenecks for creating data visualizations while also creating an
> environment that is iterative and fast-moving. This means that business
> intelligence software must also be easy and delightful to use.
> Self-service analytics doesn’t mean that admin and governance features are
> not needed.
>
> Modern BI tools provide fine-grain access controls and auditing
> capabilities to understand how data is being used. Superset is a solution
> that delivers on all of these vectors.
>
> The technology stack is also constantly morphing - vendors are struggling
> to provide cheap, quick and easy solutions to access data. Business
> intelligence users are finding existing solutions lacking as these software
> products either disregard or react slowly to recent game-changing
> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
> React.js and iPython’s Jupyter for instance.
>
> == Rationale ==
>
> Business intelligence is more relevant today than at any other point in
> history. Organizations are currently very limited in options for open
> source data visualization solutions, especially solutions that are both
> self-service and enterprise-ready. Every company informing their decisions
> with data needs a BI tool.
>
> We believe that Superset will be a strong compliment to existing Apache
> Software Foundation technologies by offering scalable user interactions to
> distributed storage and computation solutions. Users will often find that
> Superset can act as a catalyst for tooling that can visualize the byproduct
> of data and computation infrastructure.
>
> Superset has many key design elements that help fill a gap in current
> solutions for organizations:
>
> * Easy, low friction access to data through a simple, web-based data
> exploration interface. Composing charts and dashboards are intuitive.
> Eliminating the need to write code or SQL empowers anyone to use it.
>
> * Access to a wide array of rich, interactive data visualization types.
>
> * Enterprise-ready: Integration with different authentication mechanisms
> and granular permissions centered around actions and data access.
>
> * Realtime & fast: Superset provides realtime analytics at the speed of
> thought on very large datasets when integrated with Druid.io.
>
> * Broad data access: Consume data out of any SQL-speaking relational
> database.
>
> * Extensible: Can be extended to talk to many noSQL databases like Apache
> Drill, Elastic Search, and other popular database engines.
>
> * Fast loading dashboards with configurable web-scale caching.
>
> * Plug-in framework that enables organizations to build custom analytical
> applications with new UI/UX interfaces.
>
> * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users with
> more flexibility. SQL Lab integrates with the visualization engine
> seamlessly.
>
> == Initial Goals ==
>
> The initial goals of the Superset project are several-fold:
>
> Move the existing codebase to Apache and integrate with the Apache
> development process.
>
> Redesign the user interface and interaction model for creating
> visualizations/dashboards and connecting to data sources
>
> Build robust support for security and governance of the tool including
> popular authorization modules (including Apache Ranger and Apache Sentry)
> and a more sophisticated permissions system
>
> Grow the extensibility of the project both in terms of enhanced
> connectivity to NoSQL-based data sources and creating a plug-in framework
> that enables organizations to build custom analytical applications which
> require a new UI/UX
>
> == Current Status ==
>
> By many standards, Superset is already a successful open source project. As
> of March 2017, Superset is officially used in production at about a dozen
> companies, has received contributions from over one hundred contributors on
> Github, 1500+ forks, and 12k+ stars.
>
> Sizeable companies like Airbnb, Yahoo! and Hortonworks have made
> significant contributions, and expressed their commitment to the project.
> The product is feature complete and has been viable for months. It already
> serves as the main interface for consuming data at many companies of
> different sizes.
>
> While the product is usable, there’s room for improvement across the board,
> starting with providing a smoother user experience around content creation,
> making sure all features work out-of-the-box on more platforms and
> databases, providing better user training guides and videos, having a
> predictable release process, and increasing the overall quality of the
> Superset releases.
>
> === Meritocracy ===
>
> We plan to invest in supporting a meritocracy. We will discuss the
> requirements in an open forum. Several companies have expressed interest in
> this project, and we intend to invite additional developers to participate.
> We will encourage and monitor community participation so that privileges
> can be extended to those that contribute.
>
> === Community ===
>
> The need for an enterprise-ready data visualization and exploration
> platform in the open source community is tremendous. While Superset is
> fairly well known, recognized and used within the Druid.io community,
> adoption is currently limited outside of that niche. There is a huge
> opportunity to grow the community to hundreds if not thousands of
> organizations, and we are hoping that embracing “the Apache way” will
> accelerate the growth of our community.
>
> We have already been active at seeking and inviting contributions, and are
> planning to scale the project by investing time and growing the support
> structure to grow the community.
>
> === Core Developers ===
>
> The initial committers for Superset include experienced full stack,
> front-end and data engineers:
>
> * Maxime Beauchemin (Airbnb)
>
> * Alanna Scott (Airbnb)
>
> * Bogdan Kyryliuk (Airbnb)
>
> * Vera Liu (Airbnb)
>
> * Jeff Feng (Airbnb)
>
> * Ashutosh Chauhan (Hortonworks)
>
> * Nishant Bangarwa (Hortonworks)
>
> * Slim Bouguerra (Hortonworks)
>
> * Priyank Shah (Hortonworks)
>
> * Sriharsha Chintalapani (Hortonworks)
>
> * Daniel Dai (Hortonworks)
>
> We realize that additional employer diversity is needed, and we will work
> aggressively to recruit developers from additional companies.
>
> === Alignment ===
>
> The initial committers strongly believe that a system for interactive
> visualization of data will gain broader adoption as an open source,
> community driven project, where the community can contribute not only to
> the core components, but also to a growing collection of connectors,
> visualizations and improving integration a all potential data sources.
> Superset already integrates closely with Apache Hive, the Hive metastore,
> as well as most SQL-speaking databases found in modern data ecosystems.
>
> == Known Risks ==
>
> === Orphaned Products ===
>
> Superset is a vital component for both visualizing, accessing and
> democratizing data at Airbnb. Also at Hortonworks, Superset is a core
> component of the DataFlow product offering. Thus, the risk of the project
> being orphaned is relatively low. The project could be at risk if Airbnb
> changes their approach for democratizing data or if Hortonworks changes
> their strategy in the market. In such an event, the committers plan to
> continue working on the project on their own time, thought the progress
> will likely be slower. We plan to mitigate this risk by recruiting
> additional committers.
>
> === Inexperience with Open Source ===
>
> The initial committers include veteran Apache members (committers and PMC
> members) and other developers who have varying degrees of experience with
> open source projects. All have been involved with source code that has been
> released under an open source license, and several also have experience
> developing code with an open source development process.
>
> === Homogenous Developers ===
>
> The initial committers are employed by Airbnb Inc., and Hortonworks. We are
> committed to recruiting additional committers from other companies.
>
> === Reliance on Salaried Developers ===
>
> It is expected that Superset development will occur on both salaried time
> and on volunteer time, after hours. The majority of initial committers are
> paid by their employer to contribute to this project. However, they are all
> passionate about the project, and we are confident that the project will
> continue even if no salaried developers contribute to the project. We are
> committed to recruiting additional committers including non-salaried
> developers.
>
> === Relationships with Other Apache Products ===
>
> To the knowledge of the Initial Committers, there are no direct competitors
> to Superset within the Apache Software Foundation. That said, Apache
> Zeppelin is an indirect competitor, but it solves a different use case.
>
> Apache Zeppelin is a web-based notebook that enables interactive data
> analytics. It enables the creation of beautiful data-driven, interactive
> and collaborative documents with SQL, Scala and more. Although a user can
> create data visualizations using this project, it leverages a notebook
> style user interfaces and it is geared towards the Spark community where
> Scala and SQL co-exist
>
> We look forward to collaborating with those communities, as well as other
> Apache communities.
>
> === An Excessive Fascination with the Apache Brand ===
>
> Superset is solving two huge challenges:
>
> The challenge of enabling every knowledge worker to make data informed
> decisions, particularly those who are not deeply skilled at writing SQL.
>
> The challenge of visualizing huge amounts of data interactively and in
> real-time
>
> Superset was first developed as a data visualization solution for Druid.io
> as a way to visualize billions of rows of data. Since then, usage of
> Superset has expanded to address data visualization use cases across SQL
> speaking data sources as well.
>
> Our rationale for developing Superset as an Apache project is detailed in
> the Rationale Section. We believe that the Apache brand and community
> process will help us attract more contributors to this project, and help
> grow the footprint of the project through usage at other organizations and
> within other applications. Establishing consensus among users and
> developers will result in a more valuable tool for everyone.
>
> == Documentation ==
>
> References to further reading material:
>
> * [[http://airbnb.io/superset/|Superset Documentation]]
>
> * [[https://medium.com/airbnb-engineering/caravel-airbnb-s-dat
> a-exploration-platform-15a72aa610e5#.npqmmbu25|Blog Post: Superset:
> Airbnb’s Data Exploration Platform]]
>
> * [[https://medium.com/airbnb-engineering/superset-scaling-dat
> a-access-and-visual-insights-at-airbnb-3ce3e9b88a7f#.a505zvb1t|Blog Post:
> Superset: Scaling Data Access & Visual Insights at Airbnb]]
>
> == Initial Source ==
>
> The origin of the proposed code base can be found at
> https://github.com/airbnb/superset. The code base is primarily in Python.
>
> == Source and Intellectual Property Submission Plan ==
>
> We do not expect any complications for the submission of the Superset code
> base. Our code is already in Github and there is only a single code base.
>
> == External Dependencies ==
>
> List of Python packages, from the Python Package Index (Pypi):
>
> * boto3
>
> * celery
>
> * cryptography
>
> * flask-appbuilder
>
> * flask-cache
>
> * flask-migrate
>
> * flask-script
>
> * flask-sqlalchemy
>
> * flask-testing
>
> * humanize
>
> * gunicorn
>
> * markdown
>
> * pandas
>
> * parsedatetime
>
> * pydruid
>
> * PyHive
>
> * python-dateutil
>
> * requests
>
> * simplejson
>
> * six
>
> * sqlalchemy
>
> * sqlalchemy-utils
>
> * sqlparse
>
> * thrift
>
> * thrift-sasl
>
> * werkzeug
>
> List of Javascript packages, from NPM:
>
> * autobind-decorator
>
> * bootstrap
>
> * bootstrap-datepicker
>
> * brace
>
> * brfs
>
> * cal-heatmap
>
> * classnames
>
> * d3
>
> * d3-cloud
>
> * d3-sankey
>
> * d3-scale
>
> * d3-tip
>
> * datamaps
>
> * datatables-bootstrap3-plugin
>
> * datatables.net-bs
>
> * font-awesome
>
> * gridster
>
> * immutability-helper
>
> * immutable
>
> * jquery
>
> * lodash.throttle
>
> * mapbox-gl
>
> * moment
>
> * moments
>
> * mustache
>
> * nvd3
>
> * react
>
> * react-ace
>
> * react-bootstrap
>
> * react-bootstrap-table
>
> * react-dom
>
> * react-draggable
>
> * react-gravatar
>
> * react-grid-layout
>
> * react-map-gl
>
> * react-redux
>
> * react-resizable
>
> * react-select
>
> * react-syntax-highlighter
>
> * reactable
>
> * redux
>
> * redux-localstorage
>
> * redux-thunk
>
> * shortid
>
> * style-loader
>
> * supercluster
>
> * topojson
>
> * victory
>
> * viewport-mercator-project
>
> == Cryptography ==
>
> The proposal does not include cryptographic code.
>
> == Required Resources ==
>
> === Mailing List ===
>
> There is a current mailing list as a Google Group “airbnb_superset” that we
> are planning on deprecating as the Apache.org become ready to serve our
> community.
>
> * superset-private
>
> * superset-dev
>
> * superset-user
>
> === Subversion Directory ===
>
> Git is the preferred source control system. http://svn.apache.org/repos/as
> f/incubator/superset
>
> == Git Repository ==
>
> Git is the preferred source control system, we’re assuming
> https://github.com/apache/incubator-superset based on the naming scheme
>
> == Issue Tracking ==
>
> JIRA Superset (SUPERSET). If possible, we’d like to use Github issues & PRs
> to manage our project as much as possible. It’s been said that there are
> ways to keep Github’s issues in sync with Jira, allowing us to get best of
> both worlds. If that is not possible, we will comply to using Jira.
>
> == Other Resources ==
>
> We currently use a set of Github integrated services that are free to the
> open source community, like Travis-ci, Code Climate, Coveralls,
> Landscape.io, Requires.io, david-dm and Gitter. We would like to keep using
> these services as they allow us to scale contributions and optimize our
> development flows. These services require some elevated rights on the
> Github repository in order to set up or tune and we would like for the
> committers to have the required rights.
>
>
> == Initial Committers ==
>
> * Maxime Beauchemin <ma...@airbnb.com> - PMC & Committer
>
> * Alanna Scott <al...@airbnb.com> - PMC & Committer
>
> * Bogdan Kyryliuk <b....@gmail.com> - PMC & Committer
>
> * Vera Liu <ve...@airbnb.com> - Committer
>
> * Jeff Feng <je...@airbnb.com> - PMC & Committer
>
> * Ashutosh Chauhan <ha...@apache.org> - Mentor & Committer
>
> * Nishant Bangarwa <nb...@hortonworks.com> - PMC & Committer
>
> * Slim Bouguerra <sb...@hortonworks.com> - Committer
>
> * Priyank Shah <ps...@hortonworks.com> - Committer
>
> * Harsha Chintalapani <sc...@hortonworks.com> - Committer
>
> * Daniel Dai <da...@apache.org> - Champion & Committer
>
> == Affiliations ==
>
> The initial committers are employees of Airbnb Inc. and Hortonworks.
>
> == Sponsors ==
>
> === Champion ===
>
> Daniel Dai <da...@apache.org>
>
> === Nominated Mentors ===
>
> Ashutosh Chauhan <ha...@apache.org>
>
> === Sponsoring Entity ===
>
> Incubator PMC
>
>
> --
>
> *Jeff Feng*
> Product Manager
> m: (949)-610-5108 <(949)%20610-5108>
> twitter: @jtfeng
>
Re: [PROPOSAL] Superset Proposal for Apache Incubator
Posted by Raphael Bircher <rb...@gmail.com>.
Hi Max
I wonder how many of the developers are Airhub emploiees and how many work
for Hortoonworks. In many proposal you have a list with the initial
committers who reveals there affiliation.
Regards Raphael
Am .04.2017, 01:42 Uhr, schrieb Maxime Beauchemin
<ma...@gmail.com>:
> Hi Raphael, what kind of numbers are you expecting to see?
>
> Max
>
> On Tue, Apr 25, 2017 at 12:59 PM, Raphael Bircher
> <rb...@gmail.com>
> wrote:
>
>> Hi all
>>
>> There is no information about affiliation of the initial committers. The
>> only information is, that they are from Airbnb inc and Hortonworks. But
>> there are no numbers.
>>
>> Regards Raphael
>>
>>
>> Am .04.2017, 09:17 Uhr, schrieb Jeff Feng <je...@gmail.com>:
>>
>> Thanks John and Max - I have updated the proposal wiki to reflect this
>>> update. It now reads:
>>>
>>> Source and Intellectual Property Submission Plan
>>>
>>> Airbnb will submit a Software Grant Agreement (SGA) as Superset joins
>>> the
>>> incubator. We do not expect any complications for the submission of the
>>> Superset code base. Our code is already in Github and there is only a
>>> single code base.
>>>
>>>
>>> On Mon, Apr 24, 2017 at 11:32 PM, Maxime Beauchemin <
>>> maximebeauchemin@gmail.com> wrote:
>>>
>>> "Airbnb will submit a Software Grant Agreement (SGA) as Superset joins
>>> the
>>>> incubator."
>>>>
>>>> Should I add this sentence in the proposal?
>>>>
>>>> Max
>>>>
>>>> On Mon, Apr 24, 2017 at 5:48 AM, John D. Ament <jo...@apache.org>
>>>> wrote:
>>>>
>>>> > I missed this discussion. In your IP section, you list out:
>>>> >
>>>> > == Source and Intellectual Property Submission Plan ==
>>>> > We do not expect any complications for the submission of the
>>>> Superset
>>>> code
>>>> > base. Our code is already in Github and there is only a single code
>>>> base.
>>>> >
>>>> > This IMHO not clear. Does Airbnb plan to submit a SGA for
>>>> Superset, or
>>>> > expect that no SGA is required because its Apache licensed?
>>>> >
>>>> > John
>>>> >
>>>> > On Sun, Apr 2, 2017 at 4:09 PM Jeff Feng
>>>> <jeff.feng@airbnb.com.invalid
>>>> >
>>>> > wrote:
>>>> >
>>>> > > Dear Apache Incubator Community,
>>>> > >
>>>> > > We are excited to share our proposal for discussion and feedback
>>>> for
>>>> > > entering Apache Incubation. Superset is an enterprise-ready web
>>>> > > application for data exploration, data visualization and
>>>> dashboarding.
>>>> > >
>>>> > > Our Incubation proposal is at the following Wiki as well as
>>>> copied in
>>>> the
>>>> > > email below:
>>>> > >
>>>> > > https://wiki.apache.org/incubator/SupersetProposal
>>>> > >
>>>> > > We have an active Superset community including 400+ members and
>>>> nearly
>>>> > 200
>>>> > > topics. The Google Group can be found below. We plan to move the
>>>> > > discussion to the ASF:
>>>> > >
>>>> > > https://groups.google.com/forum/#!forum/airbnb_superset
>>>> > >
>>>> > > Thank you and look forward to the discussion!
>>>> > >
>>>> > > Jeff, Max & Alanna
>>>> > >
>>>> > >
>>>> > >
>>>> > >
>>>> > > = Superset =
>>>> > >
>>>> > > == Abstract ==
>>>> > >
>>>> > > Superset is an enterprise-ready web application for data
>>>> exploration,
>>>> > data
>>>> > > visualization and dashboarding.
>>>> > >
>>>> > > == Proposal ==
>>>> > >
>>>> > > Superset is business intelligence (BI) software that helps modern
>>>> > > organizations visualize and interact with their data. Superset
>>>> enables
>>>> > > users explore data from a variety of databases, assemble beautiful
>>>> > > dashboards and share their findings. Superset works neatly with
>>>> all
>>>> > modern
>>>> > > SQL-speaking databases, and integrates with Druid.io to provide
>>>> > real-time,
>>>> > > interactive, blazing fast data access to large datasets.
>>>> > >
>>>> > > == Background ==
>>>> > >
>>>> > > Data is mission critical. To succeed in this era, organizations
>>>> need
>>>> to
>>>> > > provide low-friction, intuitive and interactive access to data.
>>>> It is
>>>> > > paramount for knowledge workers to be capable of answering their
>>>> own
>>>> > > questions by querying, exploring and visualizing data.
>>>> > >
>>>> > > The entire business intelligence industry has pivoted from a
>>>> model of
>>>> > > centralized top-down platforms driven by IT organizations to
>>>> self-service
>>>> > > analytics and agile workflows by any user. This shift unblocks
>>>> > centralized
>>>> > > service bottlenecks for creating data visualizations while also
>>>> creating
>>>> > an
>>>> > > environment that is iterative and fast-moving. This means that
>>>> business
>>>> > > intelligence software must also be easy and delightful to use.
>>>> > > Self-service analytics doesn’t mean that admin and governance
>>>> features
>>>> > are
>>>> > > not needed.
>>>> > >
>>>> > > Modern BI tools provide fine-grain access controls and auditing
>>>> > > capabilities to understand how data is being used. Superset is a
>>>> > solution
>>>> > > that delivers on all of these vectors.
>>>> > >
>>>> > > The technology stack is also constantly morphing - vendors are
>>>> struggling
>>>> > > to provide cheap, quick and easy solutions to access data.
>>>> Business
>>>> > > intelligence users are finding existing solutions lacking as these
>>>> > software
>>>> > > products either disregard or react slowly to recent game-changing
>>>> > > technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin,
>>>> d3.js,
>>>> > > React.js and iPython’s Jupyter for instance.
>>>> > >
>>>> > > == Rationale ==
>>>> > >
>>>> > > Business intelligence is more relevant today than at any other
>>>> point
>>>> in
>>>> > > history. Organizations are currently very limited in options for
>>>> open
>>>> > > source data visualization solutions, especially solutions that are
>>>> both
>>>> > > self-service and enterprise-ready. Every company informing their
>>>> > decisions
>>>> > > with data needs a BI tool.
>>>> > >
>>>> > > We believe that Superset will be a strong compliment to existing
>>>> Apache
>>>> > > Software Foundation technologies by offering scalable user
>>>> interactions
>>>> > to
>>>> > > distributed storage and computation solutions. Users will often
>>>> find
>>>> > that
>>>> > > Superset can act as a catalyst for tooling that can visualize the
>>>> > byproduct
>>>> > > of data and computation infrastructure.
>>>> > >
>>>> > > Superset has many key design elements that help fill a gap in
>>>> current
>>>> > > solutions for organizations:
>>>> > >
>>>> > > * Easy, low friction access to data through a simple, web-based
>>>> data
>>>> > > exploration interface. Composing charts and dashboards are
>>>> intuitive.
>>>> > > Eliminating the need to write code or SQL empowers anyone to use
>>>> it.
>>>> > >
>>>> > > * Access to a wide array of rich, interactive data visualization
>>>> types.
>>>> > >
>>>> > > * Enterprise-ready: Integration with different authentication
>>>> mechanisms
>>>> > > and granular permissions centered around actions and data access.
>>>> > >
>>>> > > * Realtime & fast: Superset provides realtime analytics at the
>>>> speed
>>>> of
>>>> > > thought on very large datasets when integrated with Druid.io.
>>>> > >
>>>> > > * Broad data access: Consume data out of any SQL-speaking
>>>> relational
>>>> > > database.
>>>> > >
>>>> > > * Extensible: Can be extended to talk to many noSQL databases like
>>>> Apache
>>>> > > Drill, Elastic Search, and other popular database engines.
>>>> > >
>>>> > > * Fast loading dashboards with configurable web-scale caching.
>>>> > >
>>>> > > * Plug-in framework that enables organizations to build custom
>>>> analytical
>>>> > > applications with new UI/UX interfaces.
>>>> > >
>>>> > > * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking
>>>> users
>>>> > with
>>>> > > more flexibility. SQL Lab integrates with the visualization
>>>> engine
>>>> > > seamlessly.
>>>> > >
>>>> > > == Initial Goals ==
>>>> > >
>>>> > > The initial goals of the Superset project are several-fold:
>>>> > >
>>>> > > Move the existing codebase to Apache and integrate with the Apache
>>>> > > development process.
>>>> > >
>>>> > > Redesign the user interface and interaction model for creating
>>>> > > visualizations/dashboards and connecting to data sources
>>>> > >
>>>> > > Build robust support for security and governance of the tool
>>>> including
>>>> > > popular authorization modules (including Apache Ranger and Apache
>>>> Sentry)
>>>> > > and a more sophisticated permissions system
>>>> > >
>>>> > > Grow the extensibility of the project both in terms of enhanced
>>>> > > connectivity to NoSQL-based data sources and creating a plug-in
>>>> framework
>>>> > > that enables organizations to build custom analytical applications
>>>> which
>>>> > > require a new UI/UX
>>>> > >
>>>> > > == Current Status ==
>>>> > >
>>>> > > By many standards, Superset is already a successful open source
>>>> project.
>>>> > As
>>>> > > of March 2017, Superset is officially used in production at about
>>>> a
>>>> dozen
>>>> > > companies, has received contributions from over one hundred
>>>> contributors
>>>> > on
>>>> > > Github, 1500+ forks, and 12k+ stars.
>>>> > >
>>>> > > Sizeable companies like Airbnb, Yahoo! and Hortonworks have made
>>>> > > significant contributions, and expressed their commitment to the
>>>> project.
>>>> > > The product is feature complete and has been viable for months. It
>>>> > already
>>>> > > serves as the main interface for consuming data at many companies
>>>> of
>>>> > > different sizes.
>>>> > >
>>>> > > While the product is usable, there’s room for improvement across
>>>> the
>>>> > board,
>>>> > > starting with providing a smoother user experience around content
>>>> > creation,
>>>> > > making sure all features work out-of-the-box on more platforms and
>>>> > > databases, providing better user training guides and videos,
>>>> having a
>>>> > > predictable release process, and increasing the overall quality of
>>>> the
>>>> > > Superset releases.
>>>> > >
>>>> > > === Meritocracy ===
>>>> > >
>>>> > > We plan to invest in supporting a meritocracy. We will discuss the
>>>> > > requirements in an open forum. Several companies have expressed
>>>> interest
>>>> > in
>>>> > > this project, and we intend to invite additional developers to
>>>> > participate.
>>>> > > We will encourage and monitor community participation so that
>>>> privileges
>>>> > > can be extended to those that contribute.
>>>> > >
>>>> > > === Community ===
>>>> > >
>>>> > > The need for an enterprise-ready data visualization and
>>>> exploration
>>>> > > platform in the open source community is tremendous. While
>>>> Superset
>>>> is
>>>> > > fairly well known, recognized and used within the Druid.io
>>>> community,
>>>> > > adoption is currently limited outside of that niche. There is a
>>>> huge
>>>> > > opportunity to grow the community to hundreds if not thousands of
>>>> > > organizations, and we are hoping that embracing “the Apache way”
>>>> will
>>>> > > accelerate the growth of our community.
>>>> > >
>>>> > > We have already been active at seeking and inviting contributions,
>>>> and
>>>> > are
>>>> > > planning to scale the project by investing time and growing the
>>>> support
>>>> > > structure to grow the community.
>>>> > >
>>>> > > === Core Developers ===
>>>> > >
>>>> > > The initial committers for Superset include experienced full
>>>> stack,
>>>> > > front-end and data engineers:
>>>> > >
>>>> > > * Maxime Beauchemin (Airbnb)
>>>> > >
>>>> > > * Alanna Scott (Airbnb)
>>>> > >
>>>> > > * Bogdan Kyryliuk (Airbnb)
>>>> > >
>>>> > > * Vera Liu (Airbnb)
>>>> > >
>>>> > > * Jeff Feng (Airbnb)
>>>> > >
>>>> > > * Ashutosh Chauhan (Hortonworks)
>>>> > >
>>>> > > * Nishant Bangarwa (Hortonworks)
>>>> > >
>>>> > > * Slim Bouguerra (Hortonworks)
>>>> > >
>>>> > > * Priyank Shah (Hortonworks)
>>>> > >
>>>> > > * Sriharsha Chintalapani (Hortonworks)
>>>> > >
>>>> > > * Daniel Dai (Hortonworks)
>>>> > >
>>>> > > We realize that additional employer diversity is needed, and we
>>>> will
>>>> work
>>>> > > aggressively to recruit developers from additional companies.
>>>> > >
>>>> > > === Alignment ===
>>>> > >
>>>> > > The initial committers strongly believe that a system for
>>>> interactive
>>>> > > visualization of data will gain broader adoption as an open
>>>> source,
>>>> > > community driven project, where the community can contribute not
>>>> only
>>>> to
>>>> > > the core components, but also to a growing collection of
>>>> connectors,
>>>> > > visualizations and improving integration a all potential data
>>>> sources.
>>>> > > Superset already integrates closely with Apache Hive, the Hive
>>>> metastore,
>>>> > > as well as most SQL-speaking databases found in modern data
>>>> ecosystems.
>>>> > >
>>>> > > == Known Risks ==
>>>> > >
>>>> > > === Orphaned Products ===
>>>> > >
>>>> > > Superset is a vital component for both visualizing, accessing and
>>>> > > democratizing data at Airbnb. Also at Hortonworks, Superset is a
>>>> core
>>>> > > component of the DataFlow product offering. Thus, the risk of the
>>>> > project
>>>> > > being orphaned is relatively low. The project could be at risk if
>>>> Airbnb
>>>> > > changes their approach for democratizing data or if Hortonworks
>>>> changes
>>>> > > their strategy in the market. In such an event, the committers
>>>> plan
>>>> to
>>>> > > continue working on the project on their own time, thought the
>>>> progress
>>>> > > will likely be slower. We plan to mitigate this risk by
>>>> recruiting
>>>> > > additional committers.
>>>> > >
>>>> > > === Inexperience with Open Source ===
>>>> > >
>>>> > > The initial committers include veteran Apache members (committers
>>>> and
>>>> PMC
>>>> > > members) and other developers who have varying degrees of
>>>> experience
>>>> with
>>>> > > open source projects. All have been involved with source code that
>>>> has
>>>> > been
>>>> > > released under an open source license, and several also have
>>>> experience
>>>> > > developing code with an open source development process.
>>>> > >
>>>> > > === Homogenous Developers ===
>>>> > >
>>>> > > The initial committers are employed by Airbnb Inc., and
>>>> Hortonworks.
>>>> We
>>>> > are
>>>> > > committed to recruiting additional committers from other
>>>> companies.
>>>> > >
>>>> > > === Reliance on Salaried Developers ===
>>>> > >
>>>> > > It is expected that Superset development will occur on both
>>>> salaried
>>>> time
>>>> > > and on volunteer time, after hours. The majority of initial
>>>> committers
>>>> > are
>>>> > > paid by their employer to contribute to this project. However,
>>>> they
>>>> are
>>>> > all
>>>> > > passionate about the project, and we are confident that the
>>>> project
>>>> will
>>>> > > continue even if no salaried developers contribute to the
>>>> project. We
>>>> are
>>>> > > committed to recruiting additional committers including
>>>> non-salaried
>>>> > > developers.
>>>> > >
>>>> > > === Relationships with Other Apache Products ===
>>>> > >
>>>> > > To the knowledge of the Initial Committers, there are no direct
>>>> > competitors
>>>> > > to Superset within the Apache Software Foundation. That said,
>>>> Apache
>>>> > > Zeppelin is an indirect competitor, but it solves a different use
>>>> case.
>>>> > >
>>>> > > Apache Zeppelin is a web-based notebook that enables interactive
>>>> data
>>>> > > analytics. It enables the creation of beautiful data-driven,
>>>> interactive
>>>> > > and collaborative documents with SQL, Scala and more. Although a
>>>> user
>>>> > can
>>>> > > create data visualizations using this project, it leverages a
>>>> notebook
>>>> > > style user interfaces and it is geared towards the Spark community
>>>> where
>>>> > > Scala and SQL co-exist
>>>> > >
>>>> > > We look forward to collaborating with those communities, as well
>>>> as
>>>> other
>>>> > > Apache communities.
>>>> > >
>>>> > > === An Excessive Fascination with the Apache Brand ===
>>>> > >
>>>> > > Superset is solving two huge challenges:
>>>> > >
>>>> > > The challenge of enabling every knowledge worker to make data
>>>> informed
>>>> > > decisions, particularly those who are not deeply skilled at
>>>> writing
>>>> SQL.
>>>> > >
>>>> > > The challenge of visualizing huge amounts of data interactively
>>>> and
>>>> in
>>>> > > real-time
>>>> > >
>>>> > > Superset was first developed as a data visualization solution for
>>>> > Druid.io
>>>> > > as a way to visualize billions of rows of data. Since then,
>>>> usage of
>>>> > > Superset has expanded to address data visualization use cases
>>>> across
>>>> SQL
>>>> > > speaking data sources as well.
>>>> > >
>>>> > > Our rationale for developing Superset as an Apache project is
>>>> detailed
>>>> in
>>>> > > the Rationale Section. We believe that the Apache brand and
>>>> community
>>>> > > process will help us attract more contributors to this project,
>>>> and
>>>> help
>>>> > > grow the footprint of the project through usage at other
>>>> organizations
>>>> > and
>>>> > > within other applications. Establishing consensus among users and
>>>> > > developers will result in a more valuable tool for everyone.
>>>> > >
>>>> > > == Documentation ==
>>>> > >
>>>> > > References to further reading material:
>>>> > >
>>>> > > * [[http://airbnb.io/superset/|Superset Documentation]]
>>>> > >
>>>> > > * [[https://medium.com/airbnb-engineering/caravel-airbnb-s-dat
>>>> > > a-exploration-platform-15a72aa610e5#.npqmmbu25|Blog Post:
>>>> Superset:
>>>> > > Airbnb’s Data Exploration Platform]]
>>>> > >
>>>> > > * [[https://medium.com/airbnb-engineering/superset-scaling-dat
>>>> > >
>>>> a-access-and-visual-insights-at-airbnb-3ce3e9b88a7f#.a505zvb1t|Blog
>>>> > Post:
>>>> > > Superset: Scaling Data Access & Visual Insights at Airbnb]]
>>>> > >
>>>> > > == Initial Source ==
>>>> > >
>>>> > > The origin of the proposed code base can be found at
>>>> > > https://github.com/airbnb/superset. The code base is primarily in
>>>> > Python.
>>>> > >
>>>> > > == Source and Intellectual Property Submission Plan ==
>>>> > >
>>>> > > We do not expect any complications for the submission of the
>>>> Superset
>>>> > code
>>>> > > base. Our code is already in Github and there is only a single
>>>> code
>>>> > base.
>>>> > >
>>>> > > == External Dependencies ==
>>>> > >
>>>> > > List of Python packages, from the Python Package Index (Pypi):
>>>> > >
>>>> > > * boto3
>>>> > >
>>>> > > * celery
>>>> > >
>>>> > > * cryptography
>>>> > >
>>>> > > * flask-appbuilder
>>>> > >
>>>> > > * flask-cache
>>>> > >
>>>> > > * flask-migrate
>>>> > >
>>>> > > * flask-script
>>>> > >
>>>> > > * flask-sqlalchemy
>>>> > >
>>>> > > * flask-testing
>>>> > >
>>>> > > * humanize
>>>> > >
>>>> > > * gunicorn
>>>> > >
>>>> > > * markdown
>>>> > >
>>>> > > * pandas
>>>> > >
>>>> > > * parsedatetime
>>>> > >
>>>> > > * pydruid
>>>> > >
>>>> > > * PyHive
>>>> > >
>>>> > > * python-dateutil
>>>> > >
>>>> > > * requests
>>>> > >
>>>> > > * simplejson
>>>> > >
>>>> > > * six
>>>> > >
>>>> > > * sqlalchemy
>>>> > >
>>>> > > * sqlalchemy-utils
>>>> > >
>>>> > > * sqlparse
>>>> > >
>>>> > > * thrift
>>>> > >
>>>> > > * thrift-sasl
>>>> > >
>>>> > > * werkzeug
>>>> > >
>>>> > > List of Javascript packages, from NPM:
>>>> > >
>>>> > > * autobind-decorator
>>>> > >
>>>> > > * bootstrap
>>>> > >
>>>> > > * bootstrap-datepicker
>>>> > >
>>>> > > * brace
>>>> > >
>>>> > > * brfs
>>>> > >
>>>> > > * cal-heatmap
>>>> > >
>>>> > > * classnames
>>>> > >
>>>> > > * d3
>>>> > >
>>>> > > * d3-cloud
>>>> > >
>>>> > > * d3-sankey
>>>> > >
>>>> > > * d3-scale
>>>> > >
>>>> > > * d3-tip
>>>> > >
>>>> > > * datamaps
>>>> > >
>>>> > > * datatables-bootstrap3-plugin
>>>> > >
>>>> > > * datatables.net-bs
>>>> > >
>>>> > > * font-awesome
>>>> > >
>>>> > > * gridster
>>>> > >
>>>> > > * immutability-helper
>>>> > >
>>>> > > * immutable
>>>> > >
>>>> > > * jquery
>>>> > >
>>>> > > * lodash.throttle
>>>> > >
>>>> > > * mapbox-gl
>>>> > >
>>>> > > * moment
>>>> > >
>>>> > > * moments
>>>> > >
>>>> > > * mustache
>>>> > >
>>>> > > * nvd3
>>>> > >
>>>> > > * react
>>>> > >
>>>> > > * react-ace
>>>> > >
>>>> > > * react-bootstrap
>>>> > >
>>>> > > * react-bootstrap-table
>>>> > >
>>>> > > * react-dom
>>>> > >
>>>> > > * react-draggable
>>>> > >
>>>> > > * react-gravatar
>>>> > >
>>>> > > * react-grid-layout
>>>> > >
>>>> > > * react-map-gl
>>>> > >
>>>> > > * react-redux
>>>> > >
>>>> > > * react-resizable
>>>> > >
>>>> > > * react-select
>>>> > >
>>>> > > * react-syntax-highlighter
>>>> > >
>>>> > > * reactable
>>>> > >
>>>> > > * redux
>>>> > >
>>>> > > * redux-localstorage
>>>> > >
>>>> > > * redux-thunk
>>>> > >
>>>> > > * shortid
>>>> > >
>>>> > > * style-loader
>>>> > >
>>>> > > * supercluster
>>>> > >
>>>> > > * topojson
>>>> > >
>>>> > > * victory
>>>> > >
>>>> > > * viewport-mercator-project
>>>> > >
>>>> > > == Cryptography ==
>>>> > >
>>>> > > The proposal does not include cryptographic code.
>>>> > >
>>>> > > == Required Resources ==
>>>> > >
>>>> > > === Mailing List ===
>>>> > >
>>>> > > There is a current mailing list as a Google Group
>>>> “airbnb_superset”
>>>> that
>>>> > we
>>>> > > are planning on deprecating as the Apache.org become ready to
>>>> serve
>>>> our
>>>> > > community.
>>>> > >
>>>> > > * superset-private
>>>> > >
>>>> > > * superset-dev
>>>> > >
>>>> > > * superset-user
>>>> > >
>>>> > > === Subversion Directory ===
>>>> > >
>>>> > > Git is the preferred source control system.
>>>> > http://svn.apache.org/repos/as
>>>> > > f/incubator/superset <http://svn.apache.org/repos/
>>>> asf/incubator/superset
>>>> > >
>>>> > >
>>>> > > == Git Repository ==
>>>> > >
>>>> > > Git is the preferred source control system, we’re assuming
>>>> > > https://github.com/apache/incubator-superset based on the naming
>>>> scheme
>>>> > >
>>>> > > == Issue Tracking ==
>>>> > >
>>>> > > JIRA Superset (SUPERSET). If possible, we’d like to use Github
>>>> issues &
>>>> > PRs
>>>> > > to manage our project as much as possible. It’s been said that
>>>> there
>>>> are
>>>> > > ways to keep Github’s issues in sync with Jira, allowing us to get
>>>> best
>>>> > of
>>>> > > both worlds. If that is not possible, we will comply to using
>>>> Jira.
>>>> > >
>>>> > > == Other Resources ==
>>>> > >
>>>> > > We currently use a set of Github integrated services that are
>>>> free to
>>>> the
>>>> > > open source community, like Travis-ci, Code Climate, Coveralls,
>>>> > > Landscape.io, Requires.io, david-dm and Gitter. We would like to
>>>> keep
>>>> > using
>>>> > > these services as they allow us to scale contributions and
>>>> optimize
>>>> our
>>>> > > development flows. These services require some elevated rights on
>>>> the
>>>> > > Github repository in order to set up or tune and we would like for
>>>> the
>>>> > > committers to have the required rights.
>>>> > >
>>>> > >
>>>> > > == Initial Committers ==
>>>> > >
>>>> > > * Maxime Beauchemin <ma...@airbnb.com> - PMC &
>>>> Committer
>>>> > >
>>>> > > * Alanna Scott <al...@airbnb.com> - PMC & Committer
>>>> > >
>>>> > > * Bogdan Kyryliuk <b....@gmail.com> - PMC & Committer
>>>> > >
>>>> > > * Vera Liu <ve...@airbnb.com> - Committer
>>>> > >
>>>> > > * Jeff Feng <je...@airbnb.com> - PMC & Committer
>>>> > >
>>>> > > * Ashutosh Chauhan <ha...@apache.org> - Mentor & Committer
>>>> > >
>>>> > > * Nishant Bangarwa <nb...@hortonworks.com> - PMC & Committer
>>>> > >
>>>> > > * Slim Bouguerra <sb...@hortonworks.com> - Committer
>>>> > >
>>>> > > * Priyank Shah <ps...@hortonworks.com> - Committer
>>>> > >
>>>> > > * Harsha Chintalapani <sc...@hortonworks.com> - Committer
>>>> > >
>>>> > > * Daniel Dai <da...@apache.org> - Champion & Committer
>>>> > >
>>>> > > == Affiliations ==
>>>> > >
>>>> > > The initial committers are employees of Airbnb Inc. and
>>>> Hortonworks.
>>>> > >
>>>> > > == Sponsors ==
>>>> > >
>>>> > > === Champion ===
>>>> > >
>>>> > > Daniel Dai <da...@apache.org>
>>>> > >
>>>> > > === Nominated Mentors ===
>>>> > >
>>>> > > Ashutosh Chauhan <ha...@apache.org>
>>>> > >
>>>> > > === Sponsoring Entity ===
>>>> > >
>>>> > > Incubator PMC
>>>> > >
>>>> > >
>>>> > > --
>>>> > >
>>>> > > *Jeff Feng*
>>>> > > Product Manager
>>>> > > m: (949)-610-5108 <(949)%20610-5108> <(949)%20610-5108>
>>>> > > twitter: @jtfeng
>>>> > >
>>>> >
>>>>
>>>>
>>
>> --
>> My introduction https://youtu.be/Ln4vly5sxYU
>>
>>
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Re: [PROPOSAL] Superset Proposal for Apache Incubator
Posted by Maxime Beauchemin <ma...@gmail.com>.
Hi Raphael, what kind of numbers are you expecting to see?
Max
On Tue, Apr 25, 2017 at 12:59 PM, Raphael Bircher <rb...@gmail.com>
wrote:
> Hi all
>
> There is no information about affiliation of the initial committers. The
> only information is, that they are from Airbnb inc and Hortonworks. But
> there are no numbers.
>
> Regards Raphael
>
>
> Am .04.2017, 09:17 Uhr, schrieb Jeff Feng <je...@gmail.com>:
>
> Thanks John and Max - I have updated the proposal wiki to reflect this
>> update. It now reads:
>>
>> Source and Intellectual Property Submission Plan
>>
>> Airbnb will submit a Software Grant Agreement (SGA) as Superset joins the
>> incubator. We do not expect any complications for the submission of the
>> Superset code base. Our code is already in Github and there is only a
>> single code base.
>>
>>
>> On Mon, Apr 24, 2017 at 11:32 PM, Maxime Beauchemin <
>> maximebeauchemin@gmail.com> wrote:
>>
>> "Airbnb will submit a Software Grant Agreement (SGA) as Superset joins the
>>> incubator."
>>>
>>> Should I add this sentence in the proposal?
>>>
>>> Max
>>>
>>> On Mon, Apr 24, 2017 at 5:48 AM, John D. Ament <jo...@apache.org>
>>> wrote:
>>>
>>> > I missed this discussion. In your IP section, you list out:
>>> >
>>> > == Source and Intellectual Property Submission Plan ==
>>> > We do not expect any complications for the submission of the Superset
>>> code
>>> > base. Our code is already in Github and there is only a single code
>>> base.
>>> >
>>> > This IMHO not clear. Does Airbnb plan to submit a SGA for Superset, or
>>> > expect that no SGA is required because its Apache licensed?
>>> >
>>> > John
>>> >
>>> > On Sun, Apr 2, 2017 at 4:09 PM Jeff Feng <jeff.feng@airbnb.com.invalid
>>> >
>>> > wrote:
>>> >
>>> > > Dear Apache Incubator Community,
>>> > >
>>> > > We are excited to share our proposal for discussion and feedback for
>>> > > entering Apache Incubation. Superset is an enterprise-ready web
>>> > > application for data exploration, data visualization and
>>> dashboarding.
>>> > >
>>> > > Our Incubation proposal is at the following Wiki as well as copied in
>>> the
>>> > > email below:
>>> > >
>>> > > https://wiki.apache.org/incubator/SupersetProposal
>>> > >
>>> > > We have an active Superset community including 400+ members and
>>> nearly
>>> > 200
>>> > > topics. The Google Group can be found below. We plan to move the
>>> > > discussion to the ASF:
>>> > >
>>> > > https://groups.google.com/forum/#!forum/airbnb_superset
>>> > >
>>> > > Thank you and look forward to the discussion!
>>> > >
>>> > > Jeff, Max & Alanna
>>> > >
>>> > >
>>> > >
>>> > >
>>> > > = Superset =
>>> > >
>>> > > == Abstract ==
>>> > >
>>> > > Superset is an enterprise-ready web application for data exploration,
>>> > data
>>> > > visualization and dashboarding.
>>> > >
>>> > > == Proposal ==
>>> > >
>>> > > Superset is business intelligence (BI) software that helps modern
>>> > > organizations visualize and interact with their data. Superset
>>> enables
>>> > > users explore data from a variety of databases, assemble beautiful
>>> > > dashboards and share their findings. Superset works neatly with all
>>> > modern
>>> > > SQL-speaking databases, and integrates with Druid.io to provide
>>> > real-time,
>>> > > interactive, blazing fast data access to large datasets.
>>> > >
>>> > > == Background ==
>>> > >
>>> > > Data is mission critical. To succeed in this era, organizations need
>>> to
>>> > > provide low-friction, intuitive and interactive access to data. It is
>>> > > paramount for knowledge workers to be capable of answering their own
>>> > > questions by querying, exploring and visualizing data.
>>> > >
>>> > > The entire business intelligence industry has pivoted from a model of
>>> > > centralized top-down platforms driven by IT organizations to
>>> self-service
>>> > > analytics and agile workflows by any user. This shift unblocks
>>> > centralized
>>> > > service bottlenecks for creating data visualizations while also
>>> creating
>>> > an
>>> > > environment that is iterative and fast-moving. This means that
>>> business
>>> > > intelligence software must also be easy and delightful to use.
>>> > > Self-service analytics doesn’t mean that admin and governance
>>> features
>>> > are
>>> > > not needed.
>>> > >
>>> > > Modern BI tools provide fine-grain access controls and auditing
>>> > > capabilities to understand how data is being used. Superset is a
>>> > solution
>>> > > that delivers on all of these vectors.
>>> > >
>>> > > The technology stack is also constantly morphing - vendors are
>>> struggling
>>> > > to provide cheap, quick and easy solutions to access data. Business
>>> > > intelligence users are finding existing solutions lacking as these
>>> > software
>>> > > products either disregard or react slowly to recent game-changing
>>> > > technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin,
>>> d3.js,
>>> > > React.js and iPython’s Jupyter for instance.
>>> > >
>>> > > == Rationale ==
>>> > >
>>> > > Business intelligence is more relevant today than at any other point
>>> in
>>> > > history. Organizations are currently very limited in options for
>>> open
>>> > > source data visualization solutions, especially solutions that are
>>> both
>>> > > self-service and enterprise-ready. Every company informing their
>>> > decisions
>>> > > with data needs a BI tool.
>>> > >
>>> > > We believe that Superset will be a strong compliment to existing
>>> Apache
>>> > > Software Foundation technologies by offering scalable user
>>> interactions
>>> > to
>>> > > distributed storage and computation solutions. Users will often find
>>> > that
>>> > > Superset can act as a catalyst for tooling that can visualize the
>>> > byproduct
>>> > > of data and computation infrastructure.
>>> > >
>>> > > Superset has many key design elements that help fill a gap in current
>>> > > solutions for organizations:
>>> > >
>>> > > * Easy, low friction access to data through a simple, web-based data
>>> > > exploration interface. Composing charts and dashboards are
>>> intuitive.
>>> > > Eliminating the need to write code or SQL empowers anyone to use it.
>>> > >
>>> > > * Access to a wide array of rich, interactive data visualization
>>> types.
>>> > >
>>> > > * Enterprise-ready: Integration with different authentication
>>> mechanisms
>>> > > and granular permissions centered around actions and data access.
>>> > >
>>> > > * Realtime & fast: Superset provides realtime analytics at the speed
>>> of
>>> > > thought on very large datasets when integrated with Druid.io.
>>> > >
>>> > > * Broad data access: Consume data out of any SQL-speaking relational
>>> > > database.
>>> > >
>>> > > * Extensible: Can be extended to talk to many noSQL databases like
>>> Apache
>>> > > Drill, Elastic Search, and other popular database engines.
>>> > >
>>> > > * Fast loading dashboards with configurable web-scale caching.
>>> > >
>>> > > * Plug-in framework that enables organizations to build custom
>>> analytical
>>> > > applications with new UI/UX interfaces.
>>> > >
>>> > > * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking
>>> users
>>> > with
>>> > > more flexibility. SQL Lab integrates with the visualization engine
>>> > > seamlessly.
>>> > >
>>> > > == Initial Goals ==
>>> > >
>>> > > The initial goals of the Superset project are several-fold:
>>> > >
>>> > > Move the existing codebase to Apache and integrate with the Apache
>>> > > development process.
>>> > >
>>> > > Redesign the user interface and interaction model for creating
>>> > > visualizations/dashboards and connecting to data sources
>>> > >
>>> > > Build robust support for security and governance of the tool
>>> including
>>> > > popular authorization modules (including Apache Ranger and Apache
>>> Sentry)
>>> > > and a more sophisticated permissions system
>>> > >
>>> > > Grow the extensibility of the project both in terms of enhanced
>>> > > connectivity to NoSQL-based data sources and creating a plug-in
>>> framework
>>> > > that enables organizations to build custom analytical applications
>>> which
>>> > > require a new UI/UX
>>> > >
>>> > > == Current Status ==
>>> > >
>>> > > By many standards, Superset is already a successful open source
>>> project.
>>> > As
>>> > > of March 2017, Superset is officially used in production at about a
>>> dozen
>>> > > companies, has received contributions from over one hundred
>>> contributors
>>> > on
>>> > > Github, 1500+ forks, and 12k+ stars.
>>> > >
>>> > > Sizeable companies like Airbnb, Yahoo! and Hortonworks have made
>>> > > significant contributions, and expressed their commitment to the
>>> project.
>>> > > The product is feature complete and has been viable for months. It
>>> > already
>>> > > serves as the main interface for consuming data at many companies of
>>> > > different sizes.
>>> > >
>>> > > While the product is usable, there’s room for improvement across the
>>> > board,
>>> > > starting with providing a smoother user experience around content
>>> > creation,
>>> > > making sure all features work out-of-the-box on more platforms and
>>> > > databases, providing better user training guides and videos, having a
>>> > > predictable release process, and increasing the overall quality of
>>> the
>>> > > Superset releases.
>>> > >
>>> > > === Meritocracy ===
>>> > >
>>> > > We plan to invest in supporting a meritocracy. We will discuss the
>>> > > requirements in an open forum. Several companies have expressed
>>> interest
>>> > in
>>> > > this project, and we intend to invite additional developers to
>>> > participate.
>>> > > We will encourage and monitor community participation so that
>>> privileges
>>> > > can be extended to those that contribute.
>>> > >
>>> > > === Community ===
>>> > >
>>> > > The need for an enterprise-ready data visualization and exploration
>>> > > platform in the open source community is tremendous. While Superset
>>> is
>>> > > fairly well known, recognized and used within the Druid.io community,
>>> > > adoption is currently limited outside of that niche. There is a huge
>>> > > opportunity to grow the community to hundreds if not thousands of
>>> > > organizations, and we are hoping that embracing “the Apache way” will
>>> > > accelerate the growth of our community.
>>> > >
>>> > > We have already been active at seeking and inviting contributions,
>>> and
>>> > are
>>> > > planning to scale the project by investing time and growing the
>>> support
>>> > > structure to grow the community.
>>> > >
>>> > > === Core Developers ===
>>> > >
>>> > > The initial committers for Superset include experienced full stack,
>>> > > front-end and data engineers:
>>> > >
>>> > > * Maxime Beauchemin (Airbnb)
>>> > >
>>> > > * Alanna Scott (Airbnb)
>>> > >
>>> > > * Bogdan Kyryliuk (Airbnb)
>>> > >
>>> > > * Vera Liu (Airbnb)
>>> > >
>>> > > * Jeff Feng (Airbnb)
>>> > >
>>> > > * Ashutosh Chauhan (Hortonworks)
>>> > >
>>> > > * Nishant Bangarwa (Hortonworks)
>>> > >
>>> > > * Slim Bouguerra (Hortonworks)
>>> > >
>>> > > * Priyank Shah (Hortonworks)
>>> > >
>>> > > * Sriharsha Chintalapani (Hortonworks)
>>> > >
>>> > > * Daniel Dai (Hortonworks)
>>> > >
>>> > > We realize that additional employer diversity is needed, and we will
>>> work
>>> > > aggressively to recruit developers from additional companies.
>>> > >
>>> > > === Alignment ===
>>> > >
>>> > > The initial committers strongly believe that a system for interactive
>>> > > visualization of data will gain broader adoption as an open source,
>>> > > community driven project, where the community can contribute not only
>>> to
>>> > > the core components, but also to a growing collection of connectors,
>>> > > visualizations and improving integration a all potential data
>>> sources.
>>> > > Superset already integrates closely with Apache Hive, the Hive
>>> metastore,
>>> > > as well as most SQL-speaking databases found in modern data
>>> ecosystems.
>>> > >
>>> > > == Known Risks ==
>>> > >
>>> > > === Orphaned Products ===
>>> > >
>>> > > Superset is a vital component for both visualizing, accessing and
>>> > > democratizing data at Airbnb. Also at Hortonworks, Superset is a
>>> core
>>> > > component of the DataFlow product offering. Thus, the risk of the
>>> > project
>>> > > being orphaned is relatively low. The project could be at risk if
>>> Airbnb
>>> > > changes their approach for democratizing data or if Hortonworks
>>> changes
>>> > > their strategy in the market. In such an event, the committers plan
>>> to
>>> > > continue working on the project on their own time, thought the
>>> progress
>>> > > will likely be slower. We plan to mitigate this risk by recruiting
>>> > > additional committers.
>>> > >
>>> > > === Inexperience with Open Source ===
>>> > >
>>> > > The initial committers include veteran Apache members (committers and
>>> PMC
>>> > > members) and other developers who have varying degrees of experience
>>> with
>>> > > open source projects. All have been involved with source code that
>>> has
>>> > been
>>> > > released under an open source license, and several also have
>>> experience
>>> > > developing code with an open source development process.
>>> > >
>>> > > === Homogenous Developers ===
>>> > >
>>> > > The initial committers are employed by Airbnb Inc., and Hortonworks.
>>> We
>>> > are
>>> > > committed to recruiting additional committers from other companies.
>>> > >
>>> > > === Reliance on Salaried Developers ===
>>> > >
>>> > > It is expected that Superset development will occur on both salaried
>>> time
>>> > > and on volunteer time, after hours. The majority of initial
>>> committers
>>> > are
>>> > > paid by their employer to contribute to this project. However, they
>>> are
>>> > all
>>> > > passionate about the project, and we are confident that the project
>>> will
>>> > > continue even if no salaried developers contribute to the project. We
>>> are
>>> > > committed to recruiting additional committers including non-salaried
>>> > > developers.
>>> > >
>>> > > === Relationships with Other Apache Products ===
>>> > >
>>> > > To the knowledge of the Initial Committers, there are no direct
>>> > competitors
>>> > > to Superset within the Apache Software Foundation. That said, Apache
>>> > > Zeppelin is an indirect competitor, but it solves a different use
>>> case.
>>> > >
>>> > > Apache Zeppelin is a web-based notebook that enables interactive data
>>> > > analytics. It enables the creation of beautiful data-driven,
>>> interactive
>>> > > and collaborative documents with SQL, Scala and more. Although a
>>> user
>>> > can
>>> > > create data visualizations using this project, it leverages a
>>> notebook
>>> > > style user interfaces and it is geared towards the Spark community
>>> where
>>> > > Scala and SQL co-exist
>>> > >
>>> > > We look forward to collaborating with those communities, as well as
>>> other
>>> > > Apache communities.
>>> > >
>>> > > === An Excessive Fascination with the Apache Brand ===
>>> > >
>>> > > Superset is solving two huge challenges:
>>> > >
>>> > > The challenge of enabling every knowledge worker to make data
>>> informed
>>> > > decisions, particularly those who are not deeply skilled at writing
>>> SQL.
>>> > >
>>> > > The challenge of visualizing huge amounts of data interactively and
>>> in
>>> > > real-time
>>> > >
>>> > > Superset was first developed as a data visualization solution for
>>> > Druid.io
>>> > > as a way to visualize billions of rows of data. Since then, usage of
>>> > > Superset has expanded to address data visualization use cases across
>>> SQL
>>> > > speaking data sources as well.
>>> > >
>>> > > Our rationale for developing Superset as an Apache project is
>>> detailed
>>> in
>>> > > the Rationale Section. We believe that the Apache brand and
>>> community
>>> > > process will help us attract more contributors to this project, and
>>> help
>>> > > grow the footprint of the project through usage at other
>>> organizations
>>> > and
>>> > > within other applications. Establishing consensus among users and
>>> > > developers will result in a more valuable tool for everyone.
>>> > >
>>> > > == Documentation ==
>>> > >
>>> > > References to further reading material:
>>> > >
>>> > > * [[http://airbnb.io/superset/|Superset Documentation]]
>>> > >
>>> > > * [[https://medium.com/airbnb-engineering/caravel-airbnb-s-dat
>>> > > a-exploration-platform-15a72aa610e5#.npqmmbu25|Blog Post: Superset:
>>> > > Airbnb’s Data Exploration Platform]]
>>> > >
>>> > > * [[https://medium.com/airbnb-engineering/superset-scaling-dat
>>> > > a-access-and-visual-insights-at-airbnb-3ce3e9b88a7f#.a505zvb1t|Blog
>>> > Post:
>>> > > Superset: Scaling Data Access & Visual Insights at Airbnb]]
>>> > >
>>> > > == Initial Source ==
>>> > >
>>> > > The origin of the proposed code base can be found at
>>> > > https://github.com/airbnb/superset. The code base is primarily in
>>> > Python.
>>> > >
>>> > > == Source and Intellectual Property Submission Plan ==
>>> > >
>>> > > We do not expect any complications for the submission of the Superset
>>> > code
>>> > > base. Our code is already in Github and there is only a single code
>>> > base.
>>> > >
>>> > > == External Dependencies ==
>>> > >
>>> > > List of Python packages, from the Python Package Index (Pypi):
>>> > >
>>> > > * boto3
>>> > >
>>> > > * celery
>>> > >
>>> > > * cryptography
>>> > >
>>> > > * flask-appbuilder
>>> > >
>>> > > * flask-cache
>>> > >
>>> > > * flask-migrate
>>> > >
>>> > > * flask-script
>>> > >
>>> > > * flask-sqlalchemy
>>> > >
>>> > > * flask-testing
>>> > >
>>> > > * humanize
>>> > >
>>> > > * gunicorn
>>> > >
>>> > > * markdown
>>> > >
>>> > > * pandas
>>> > >
>>> > > * parsedatetime
>>> > >
>>> > > * pydruid
>>> > >
>>> > > * PyHive
>>> > >
>>> > > * python-dateutil
>>> > >
>>> > > * requests
>>> > >
>>> > > * simplejson
>>> > >
>>> > > * six
>>> > >
>>> > > * sqlalchemy
>>> > >
>>> > > * sqlalchemy-utils
>>> > >
>>> > > * sqlparse
>>> > >
>>> > > * thrift
>>> > >
>>> > > * thrift-sasl
>>> > >
>>> > > * werkzeug
>>> > >
>>> > > List of Javascript packages, from NPM:
>>> > >
>>> > > * autobind-decorator
>>> > >
>>> > > * bootstrap
>>> > >
>>> > > * bootstrap-datepicker
>>> > >
>>> > > * brace
>>> > >
>>> > > * brfs
>>> > >
>>> > > * cal-heatmap
>>> > >
>>> > > * classnames
>>> > >
>>> > > * d3
>>> > >
>>> > > * d3-cloud
>>> > >
>>> > > * d3-sankey
>>> > >
>>> > > * d3-scale
>>> > >
>>> > > * d3-tip
>>> > >
>>> > > * datamaps
>>> > >
>>> > > * datatables-bootstrap3-plugin
>>> > >
>>> > > * datatables.net-bs
>>> > >
>>> > > * font-awesome
>>> > >
>>> > > * gridster
>>> > >
>>> > > * immutability-helper
>>> > >
>>> > > * immutable
>>> > >
>>> > > * jquery
>>> > >
>>> > > * lodash.throttle
>>> > >
>>> > > * mapbox-gl
>>> > >
>>> > > * moment
>>> > >
>>> > > * moments
>>> > >
>>> > > * mustache
>>> > >
>>> > > * nvd3
>>> > >
>>> > > * react
>>> > >
>>> > > * react-ace
>>> > >
>>> > > * react-bootstrap
>>> > >
>>> > > * react-bootstrap-table
>>> > >
>>> > > * react-dom
>>> > >
>>> > > * react-draggable
>>> > >
>>> > > * react-gravatar
>>> > >
>>> > > * react-grid-layout
>>> > >
>>> > > * react-map-gl
>>> > >
>>> > > * react-redux
>>> > >
>>> > > * react-resizable
>>> > >
>>> > > * react-select
>>> > >
>>> > > * react-syntax-highlighter
>>> > >
>>> > > * reactable
>>> > >
>>> > > * redux
>>> > >
>>> > > * redux-localstorage
>>> > >
>>> > > * redux-thunk
>>> > >
>>> > > * shortid
>>> > >
>>> > > * style-loader
>>> > >
>>> > > * supercluster
>>> > >
>>> > > * topojson
>>> > >
>>> > > * victory
>>> > >
>>> > > * viewport-mercator-project
>>> > >
>>> > > == Cryptography ==
>>> > >
>>> > > The proposal does not include cryptographic code.
>>> > >
>>> > > == Required Resources ==
>>> > >
>>> > > === Mailing List ===
>>> > >
>>> > > There is a current mailing list as a Google Group “airbnb_superset”
>>> that
>>> > we
>>> > > are planning on deprecating as the Apache.org become ready to serve
>>> our
>>> > > community.
>>> > >
>>> > > * superset-private
>>> > >
>>> > > * superset-dev
>>> > >
>>> > > * superset-user
>>> > >
>>> > > === Subversion Directory ===
>>> > >
>>> > > Git is the preferred source control system.
>>> > http://svn.apache.org/repos/as
>>> > > f/incubator/superset <http://svn.apache.org/repos/
>>> asf/incubator/superset
>>> > >
>>> > >
>>> > > == Git Repository ==
>>> > >
>>> > > Git is the preferred source control system, we’re assuming
>>> > > https://github.com/apache/incubator-superset based on the naming
>>> scheme
>>> > >
>>> > > == Issue Tracking ==
>>> > >
>>> > > JIRA Superset (SUPERSET). If possible, we’d like to use Github
>>> issues &
>>> > PRs
>>> > > to manage our project as much as possible. It’s been said that there
>>> are
>>> > > ways to keep Github’s issues in sync with Jira, allowing us to get
>>> best
>>> > of
>>> > > both worlds. If that is not possible, we will comply to using Jira.
>>> > >
>>> > > == Other Resources ==
>>> > >
>>> > > We currently use a set of Github integrated services that are free to
>>> the
>>> > > open source community, like Travis-ci, Code Climate, Coveralls,
>>> > > Landscape.io, Requires.io, david-dm and Gitter. We would like to keep
>>> > using
>>> > > these services as they allow us to scale contributions and optimize
>>> our
>>> > > development flows. These services require some elevated rights on the
>>> > > Github repository in order to set up or tune and we would like for
>>> the
>>> > > committers to have the required rights.
>>> > >
>>> > >
>>> > > == Initial Committers ==
>>> > >
>>> > > * Maxime Beauchemin <ma...@airbnb.com> - PMC & Committer
>>> > >
>>> > > * Alanna Scott <al...@airbnb.com> - PMC & Committer
>>> > >
>>> > > * Bogdan Kyryliuk <b....@gmail.com> - PMC & Committer
>>> > >
>>> > > * Vera Liu <ve...@airbnb.com> - Committer
>>> > >
>>> > > * Jeff Feng <je...@airbnb.com> - PMC & Committer
>>> > >
>>> > > * Ashutosh Chauhan <ha...@apache.org> - Mentor & Committer
>>> > >
>>> > > * Nishant Bangarwa <nb...@hortonworks.com> - PMC & Committer
>>> > >
>>> > > * Slim Bouguerra <sb...@hortonworks.com> - Committer
>>> > >
>>> > > * Priyank Shah <ps...@hortonworks.com> - Committer
>>> > >
>>> > > * Harsha Chintalapani <sc...@hortonworks.com> - Committer
>>> > >
>>> > > * Daniel Dai <da...@apache.org> - Champion & Committer
>>> > >
>>> > > == Affiliations ==
>>> > >
>>> > > The initial committers are employees of Airbnb Inc. and Hortonworks.
>>> > >
>>> > > == Sponsors ==
>>> > >
>>> > > === Champion ===
>>> > >
>>> > > Daniel Dai <da...@apache.org>
>>> > >
>>> > > === Nominated Mentors ===
>>> > >
>>> > > Ashutosh Chauhan <ha...@apache.org>
>>> > >
>>> > > === Sponsoring Entity ===
>>> > >
>>> > > Incubator PMC
>>> > >
>>> > >
>>> > > --
>>> > >
>>> > > *Jeff Feng*
>>> > > Product Manager
>>> > > m: (949)-610-5108 <(949)%20610-5108> <(949)%20610-5108>
>>> > > twitter: @jtfeng
>>> > >
>>> >
>>>
>>>
>
> --
> My introduction https://youtu.be/Ln4vly5sxYU
>
>
> ---------------------------------------------------------------------
> To unsubscribe, e-mail: general-unsubscribe@incubator.apache.org
> For additional commands, e-mail: general-help@incubator.apache.org
>
>
Re: [PROPOSAL] Superset Proposal for Apache Incubator
Posted by Raphael Bircher <rb...@gmail.com>.
Hi all
There is no information about affiliation of the initial committers. The
only information is, that they are from Airbnb inc and Hortonworks. But
there are no numbers.
Regards Raphael
Am .04.2017, 09:17 Uhr, schrieb Jeff Feng <je...@gmail.com>:
> Thanks John and Max - I have updated the proposal wiki to reflect this
> update. It now reads:
>
> Source and Intellectual Property Submission Plan
>
> Airbnb will submit a Software Grant Agreement (SGA) as Superset joins the
> incubator. We do not expect any complications for the submission of the
> Superset code base. Our code is already in Github and there is only a
> single code base.
>
>
> On Mon, Apr 24, 2017 at 11:32 PM, Maxime Beauchemin <
> maximebeauchemin@gmail.com> wrote:
>
>> "Airbnb will submit a Software Grant Agreement (SGA) as Superset joins
>> the
>> incubator."
>>
>> Should I add this sentence in the proposal?
>>
>> Max
>>
>> On Mon, Apr 24, 2017 at 5:48 AM, John D. Ament <jo...@apache.org>
>> wrote:
>>
>> > I missed this discussion. In your IP section, you list out:
>> >
>> > == Source and Intellectual Property Submission Plan ==
>> > We do not expect any complications for the submission of the Superset
>> code
>> > base. Our code is already in Github and there is only a single code
>> base.
>> >
>> > This IMHO not clear. Does Airbnb plan to submit a SGA for Superset,
>> or
>> > expect that no SGA is required because its Apache licensed?
>> >
>> > John
>> >
>> > On Sun, Apr 2, 2017 at 4:09 PM Jeff Feng
>> <je...@airbnb.com.invalid>
>> > wrote:
>> >
>> > > Dear Apache Incubator Community,
>> > >
>> > > We are excited to share our proposal for discussion and feedback for
>> > > entering Apache Incubation. Superset is an enterprise-ready web
>> > > application for data exploration, data visualization and
>> dashboarding.
>> > >
>> > > Our Incubation proposal is at the following Wiki as well as copied
>> in
>> the
>> > > email below:
>> > >
>> > > https://wiki.apache.org/incubator/SupersetProposal
>> > >
>> > > We have an active Superset community including 400+ members and
>> nearly
>> > 200
>> > > topics. The Google Group can be found below. We plan to move the
>> > > discussion to the ASF:
>> > >
>> > > https://groups.google.com/forum/#!forum/airbnb_superset
>> > >
>> > > Thank you and look forward to the discussion!
>> > >
>> > > Jeff, Max & Alanna
>> > >
>> > >
>> > >
>> > >
>> > > = Superset =
>> > >
>> > > == Abstract ==
>> > >
>> > > Superset is an enterprise-ready web application for data
>> exploration,
>> > data
>> > > visualization and dashboarding.
>> > >
>> > > == Proposal ==
>> > >
>> > > Superset is business intelligence (BI) software that helps modern
>> > > organizations visualize and interact with their data. Superset
>> enables
>> > > users explore data from a variety of databases, assemble beautiful
>> > > dashboards and share their findings. Superset works neatly with all
>> > modern
>> > > SQL-speaking databases, and integrates with Druid.io to provide
>> > real-time,
>> > > interactive, blazing fast data access to large datasets.
>> > >
>> > > == Background ==
>> > >
>> > > Data is mission critical. To succeed in this era, organizations
>> need to
>> > > provide low-friction, intuitive and interactive access to data. It
>> is
>> > > paramount for knowledge workers to be capable of answering their own
>> > > questions by querying, exploring and visualizing data.
>> > >
>> > > The entire business intelligence industry has pivoted from a model
>> of
>> > > centralized top-down platforms driven by IT organizations to
>> self-service
>> > > analytics and agile workflows by any user. This shift unblocks
>> > centralized
>> > > service bottlenecks for creating data visualizations while also
>> creating
>> > an
>> > > environment that is iterative and fast-moving. This means that
>> business
>> > > intelligence software must also be easy and delightful to use.
>> > > Self-service analytics doesn’t mean that admin and governance
>> features
>> > are
>> > > not needed.
>> > >
>> > > Modern BI tools provide fine-grain access controls and auditing
>> > > capabilities to understand how data is being used. Superset is a
>> > solution
>> > > that delivers on all of these vectors.
>> > >
>> > > The technology stack is also constantly morphing - vendors are
>> struggling
>> > > to provide cheap, quick and easy solutions to access data. Business
>> > > intelligence users are finding existing solutions lacking as these
>> > software
>> > > products either disregard or react slowly to recent game-changing
>> > > technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin,
>> d3.js,
>> > > React.js and iPython’s Jupyter for instance.
>> > >
>> > > == Rationale ==
>> > >
>> > > Business intelligence is more relevant today than at any other
>> point in
>> > > history. Organizations are currently very limited in options for
>> open
>> > > source data visualization solutions, especially solutions that are
>> both
>> > > self-service and enterprise-ready. Every company informing their
>> > decisions
>> > > with data needs a BI tool.
>> > >
>> > > We believe that Superset will be a strong compliment to existing
>> Apache
>> > > Software Foundation technologies by offering scalable user
>> interactions
>> > to
>> > > distributed storage and computation solutions. Users will often
>> find
>> > that
>> > > Superset can act as a catalyst for tooling that can visualize the
>> > byproduct
>> > > of data and computation infrastructure.
>> > >
>> > > Superset has many key design elements that help fill a gap in
>> current
>> > > solutions for organizations:
>> > >
>> > > * Easy, low friction access to data through a simple, web-based data
>> > > exploration interface. Composing charts and dashboards are
>> intuitive.
>> > > Eliminating the need to write code or SQL empowers anyone to use it.
>> > >
>> > > * Access to a wide array of rich, interactive data visualization
>> types.
>> > >
>> > > * Enterprise-ready: Integration with different authentication
>> mechanisms
>> > > and granular permissions centered around actions and data access.
>> > >
>> > > * Realtime & fast: Superset provides realtime analytics at the
>> speed of
>> > > thought on very large datasets when integrated with Druid.io.
>> > >
>> > > * Broad data access: Consume data out of any SQL-speaking relational
>> > > database.
>> > >
>> > > * Extensible: Can be extended to talk to many noSQL databases like
>> Apache
>> > > Drill, Elastic Search, and other popular database engines.
>> > >
>> > > * Fast loading dashboards with configurable web-scale caching.
>> > >
>> > > * Plug-in framework that enables organizations to build custom
>> analytical
>> > > applications with new UI/UX interfaces.
>> > >
>> > > * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking
>> users
>> > with
>> > > more flexibility. SQL Lab integrates with the visualization engine
>> > > seamlessly.
>> > >
>> > > == Initial Goals ==
>> > >
>> > > The initial goals of the Superset project are several-fold:
>> > >
>> > > Move the existing codebase to Apache and integrate with the Apache
>> > > development process.
>> > >
>> > > Redesign the user interface and interaction model for creating
>> > > visualizations/dashboards and connecting to data sources
>> > >
>> > > Build robust support for security and governance of the tool
>> including
>> > > popular authorization modules (including Apache Ranger and Apache
>> Sentry)
>> > > and a more sophisticated permissions system
>> > >
>> > > Grow the extensibility of the project both in terms of enhanced
>> > > connectivity to NoSQL-based data sources and creating a plug-in
>> framework
>> > > that enables organizations to build custom analytical applications
>> which
>> > > require a new UI/UX
>> > >
>> > > == Current Status ==
>> > >
>> > > By many standards, Superset is already a successful open source
>> project.
>> > As
>> > > of March 2017, Superset is officially used in production at about a
>> dozen
>> > > companies, has received contributions from over one hundred
>> contributors
>> > on
>> > > Github, 1500+ forks, and 12k+ stars.
>> > >
>> > > Sizeable companies like Airbnb, Yahoo! and Hortonworks have made
>> > > significant contributions, and expressed their commitment to the
>> project.
>> > > The product is feature complete and has been viable for months. It
>> > already
>> > > serves as the main interface for consuming data at many companies of
>> > > different sizes.
>> > >
>> > > While the product is usable, there’s room for improvement across the
>> > board,
>> > > starting with providing a smoother user experience around content
>> > creation,
>> > > making sure all features work out-of-the-box on more platforms and
>> > > databases, providing better user training guides and videos, having
>> a
>> > > predictable release process, and increasing the overall quality of
>> the
>> > > Superset releases.
>> > >
>> > > === Meritocracy ===
>> > >
>> > > We plan to invest in supporting a meritocracy. We will discuss the
>> > > requirements in an open forum. Several companies have expressed
>> interest
>> > in
>> > > this project, and we intend to invite additional developers to
>> > participate.
>> > > We will encourage and monitor community participation so that
>> privileges
>> > > can be extended to those that contribute.
>> > >
>> > > === Community ===
>> > >
>> > > The need for an enterprise-ready data visualization and exploration
>> > > platform in the open source community is tremendous. While
>> Superset is
>> > > fairly well known, recognized and used within the Druid.io
>> community,
>> > > adoption is currently limited outside of that niche. There is a huge
>> > > opportunity to grow the community to hundreds if not thousands of
>> > > organizations, and we are hoping that embracing “the Apache way”
>> will
>> > > accelerate the growth of our community.
>> > >
>> > > We have already been active at seeking and inviting contributions,
>> and
>> > are
>> > > planning to scale the project by investing time and growing the
>> support
>> > > structure to grow the community.
>> > >
>> > > === Core Developers ===
>> > >
>> > > The initial committers for Superset include experienced full stack,
>> > > front-end and data engineers:
>> > >
>> > > * Maxime Beauchemin (Airbnb)
>> > >
>> > > * Alanna Scott (Airbnb)
>> > >
>> > > * Bogdan Kyryliuk (Airbnb)
>> > >
>> > > * Vera Liu (Airbnb)
>> > >
>> > > * Jeff Feng (Airbnb)
>> > >
>> > > * Ashutosh Chauhan (Hortonworks)
>> > >
>> > > * Nishant Bangarwa (Hortonworks)
>> > >
>> > > * Slim Bouguerra (Hortonworks)
>> > >
>> > > * Priyank Shah (Hortonworks)
>> > >
>> > > * Sriharsha Chintalapani (Hortonworks)
>> > >
>> > > * Daniel Dai (Hortonworks)
>> > >
>> > > We realize that additional employer diversity is needed, and we will
>> work
>> > > aggressively to recruit developers from additional companies.
>> > >
>> > > === Alignment ===
>> > >
>> > > The initial committers strongly believe that a system for
>> interactive
>> > > visualization of data will gain broader adoption as an open source,
>> > > community driven project, where the community can contribute not
>> only
>> to
>> > > the core components, but also to a growing collection of connectors,
>> > > visualizations and improving integration a all potential data
>> sources.
>> > > Superset already integrates closely with Apache Hive, the Hive
>> metastore,
>> > > as well as most SQL-speaking databases found in modern data
>> ecosystems.
>> > >
>> > > == Known Risks ==
>> > >
>> > > === Orphaned Products ===
>> > >
>> > > Superset is a vital component for both visualizing, accessing and
>> > > democratizing data at Airbnb. Also at Hortonworks, Superset is a
>> core
>> > > component of the DataFlow product offering. Thus, the risk of the
>> > project
>> > > being orphaned is relatively low. The project could be at risk if
>> Airbnb
>> > > changes their approach for democratizing data or if Hortonworks
>> changes
>> > > their strategy in the market. In such an event, the committers
>> plan to
>> > > continue working on the project on their own time, thought the
>> progress
>> > > will likely be slower. We plan to mitigate this risk by recruiting
>> > > additional committers.
>> > >
>> > > === Inexperience with Open Source ===
>> > >
>> > > The initial committers include veteran Apache members (committers
>> and
>> PMC
>> > > members) and other developers who have varying degrees of experience
>> with
>> > > open source projects. All have been involved with source code that
>> has
>> > been
>> > > released under an open source license, and several also have
>> experience
>> > > developing code with an open source development process.
>> > >
>> > > === Homogenous Developers ===
>> > >
>> > > The initial committers are employed by Airbnb Inc., and
>> Hortonworks. We
>> > are
>> > > committed to recruiting additional committers from other companies.
>> > >
>> > > === Reliance on Salaried Developers ===
>> > >
>> > > It is expected that Superset development will occur on both salaried
>> time
>> > > and on volunteer time, after hours. The majority of initial
>> committers
>> > are
>> > > paid by their employer to contribute to this project. However, they
>> are
>> > all
>> > > passionate about the project, and we are confident that the project
>> will
>> > > continue even if no salaried developers contribute to the project.
>> We
>> are
>> > > committed to recruiting additional committers including non-salaried
>> > > developers.
>> > >
>> > > === Relationships with Other Apache Products ===
>> > >
>> > > To the knowledge of the Initial Committers, there are no direct
>> > competitors
>> > > to Superset within the Apache Software Foundation. That said,
>> Apache
>> > > Zeppelin is an indirect competitor, but it solves a different use
>> case.
>> > >
>> > > Apache Zeppelin is a web-based notebook that enables interactive
>> data
>> > > analytics. It enables the creation of beautiful data-driven,
>> interactive
>> > > and collaborative documents with SQL, Scala and more. Although a
>> user
>> > can
>> > > create data visualizations using this project, it leverages a
>> notebook
>> > > style user interfaces and it is geared towards the Spark community
>> where
>> > > Scala and SQL co-exist
>> > >
>> > > We look forward to collaborating with those communities, as well as
>> other
>> > > Apache communities.
>> > >
>> > > === An Excessive Fascination with the Apache Brand ===
>> > >
>> > > Superset is solving two huge challenges:
>> > >
>> > > The challenge of enabling every knowledge worker to make data
>> informed
>> > > decisions, particularly those who are not deeply skilled at writing
>> SQL.
>> > >
>> > > The challenge of visualizing huge amounts of data interactively and
>> in
>> > > real-time
>> > >
>> > > Superset was first developed as a data visualization solution for
>> > Druid.io
>> > > as a way to visualize billions of rows of data. Since then, usage
>> of
>> > > Superset has expanded to address data visualization use cases across
>> SQL
>> > > speaking data sources as well.
>> > >
>> > > Our rationale for developing Superset as an Apache project is
>> detailed
>> in
>> > > the Rationale Section. We believe that the Apache brand and
>> community
>> > > process will help us attract more contributors to this project, and
>> help
>> > > grow the footprint of the project through usage at other
>> organizations
>> > and
>> > > within other applications. Establishing consensus among users and
>> > > developers will result in a more valuable tool for everyone.
>> > >
>> > > == Documentation ==
>> > >
>> > > References to further reading material:
>> > >
>> > > * [[http://airbnb.io/superset/|Superset Documentation]]
>> > >
>> > > * [[https://medium.com/airbnb-engineering/caravel-airbnb-s-dat
>> > > a-exploration-platform-15a72aa610e5#.npqmmbu25|Blog Post: Superset:
>> > > Airbnb’s Data Exploration Platform]]
>> > >
>> > > * [[https://medium.com/airbnb-engineering/superset-scaling-dat
>> > > a-access-and-visual-insights-at-airbnb-3ce3e9b88a7f#.a505zvb1t|Blog
>> > Post:
>> > > Superset: Scaling Data Access & Visual Insights at Airbnb]]
>> > >
>> > > == Initial Source ==
>> > >
>> > > The origin of the proposed code base can be found at
>> > > https://github.com/airbnb/superset. The code base is primarily in
>> > Python.
>> > >
>> > > == Source and Intellectual Property Submission Plan ==
>> > >
>> > > We do not expect any complications for the submission of the
>> Superset
>> > code
>> > > base. Our code is already in Github and there is only a single code
>> > base.
>> > >
>> > > == External Dependencies ==
>> > >
>> > > List of Python packages, from the Python Package Index (Pypi):
>> > >
>> > > * boto3
>> > >
>> > > * celery
>> > >
>> > > * cryptography
>> > >
>> > > * flask-appbuilder
>> > >
>> > > * flask-cache
>> > >
>> > > * flask-migrate
>> > >
>> > > * flask-script
>> > >
>> > > * flask-sqlalchemy
>> > >
>> > > * flask-testing
>> > >
>> > > * humanize
>> > >
>> > > * gunicorn
>> > >
>> > > * markdown
>> > >
>> > > * pandas
>> > >
>> > > * parsedatetime
>> > >
>> > > * pydruid
>> > >
>> > > * PyHive
>> > >
>> > > * python-dateutil
>> > >
>> > > * requests
>> > >
>> > > * simplejson
>> > >
>> > > * six
>> > >
>> > > * sqlalchemy
>> > >
>> > > * sqlalchemy-utils
>> > >
>> > > * sqlparse
>> > >
>> > > * thrift
>> > >
>> > > * thrift-sasl
>> > >
>> > > * werkzeug
>> > >
>> > > List of Javascript packages, from NPM:
>> > >
>> > > * autobind-decorator
>> > >
>> > > * bootstrap
>> > >
>> > > * bootstrap-datepicker
>> > >
>> > > * brace
>> > >
>> > > * brfs
>> > >
>> > > * cal-heatmap
>> > >
>> > > * classnames
>> > >
>> > > * d3
>> > >
>> > > * d3-cloud
>> > >
>> > > * d3-sankey
>> > >
>> > > * d3-scale
>> > >
>> > > * d3-tip
>> > >
>> > > * datamaps
>> > >
>> > > * datatables-bootstrap3-plugin
>> > >
>> > > * datatables.net-bs
>> > >
>> > > * font-awesome
>> > >
>> > > * gridster
>> > >
>> > > * immutability-helper
>> > >
>> > > * immutable
>> > >
>> > > * jquery
>> > >
>> > > * lodash.throttle
>> > >
>> > > * mapbox-gl
>> > >
>> > > * moment
>> > >
>> > > * moments
>> > >
>> > > * mustache
>> > >
>> > > * nvd3
>> > >
>> > > * react
>> > >
>> > > * react-ace
>> > >
>> > > * react-bootstrap
>> > >
>> > > * react-bootstrap-table
>> > >
>> > > * react-dom
>> > >
>> > > * react-draggable
>> > >
>> > > * react-gravatar
>> > >
>> > > * react-grid-layout
>> > >
>> > > * react-map-gl
>> > >
>> > > * react-redux
>> > >
>> > > * react-resizable
>> > >
>> > > * react-select
>> > >
>> > > * react-syntax-highlighter
>> > >
>> > > * reactable
>> > >
>> > > * redux
>> > >
>> > > * redux-localstorage
>> > >
>> > > * redux-thunk
>> > >
>> > > * shortid
>> > >
>> > > * style-loader
>> > >
>> > > * supercluster
>> > >
>> > > * topojson
>> > >
>> > > * victory
>> > >
>> > > * viewport-mercator-project
>> > >
>> > > == Cryptography ==
>> > >
>> > > The proposal does not include cryptographic code.
>> > >
>> > > == Required Resources ==
>> > >
>> > > === Mailing List ===
>> > >
>> > > There is a current mailing list as a Google Group “airbnb_superset”
>> that
>> > we
>> > > are planning on deprecating as the Apache.org become ready to serve
>> our
>> > > community.
>> > >
>> > > * superset-private
>> > >
>> > > * superset-dev
>> > >
>> > > * superset-user
>> > >
>> > > === Subversion Directory ===
>> > >
>> > > Git is the preferred source control system.
>> > http://svn.apache.org/repos/as
>> > > f/incubator/superset <http://svn.apache.org/repos/
>> asf/incubator/superset
>> > >
>> > >
>> > > == Git Repository ==
>> > >
>> > > Git is the preferred source control system, we’re assuming
>> > > https://github.com/apache/incubator-superset based on the naming
>> scheme
>> > >
>> > > == Issue Tracking ==
>> > >
>> > > JIRA Superset (SUPERSET). If possible, we’d like to use Github
>> issues &
>> > PRs
>> > > to manage our project as much as possible. It’s been said that there
>> are
>> > > ways to keep Github’s issues in sync with Jira, allowing us to get
>> best
>> > of
>> > > both worlds. If that is not possible, we will comply to using Jira.
>> > >
>> > > == Other Resources ==
>> > >
>> > > We currently use a set of Github integrated services that are free
>> to
>> the
>> > > open source community, like Travis-ci, Code Climate, Coveralls,
>> > > Landscape.io, Requires.io, david-dm and Gitter. We would like to
>> keep
>> > using
>> > > these services as they allow us to scale contributions and optimize
>> our
>> > > development flows. These services require some elevated rights on
>> the
>> > > Github repository in order to set up or tune and we would like for
>> the
>> > > committers to have the required rights.
>> > >
>> > >
>> > > == Initial Committers ==
>> > >
>> > > * Maxime Beauchemin <ma...@airbnb.com> - PMC & Committer
>> > >
>> > > * Alanna Scott <al...@airbnb.com> - PMC & Committer
>> > >
>> > > * Bogdan Kyryliuk <b....@gmail.com> - PMC & Committer
>> > >
>> > > * Vera Liu <ve...@airbnb.com> - Committer
>> > >
>> > > * Jeff Feng <je...@airbnb.com> - PMC & Committer
>> > >
>> > > * Ashutosh Chauhan <ha...@apache.org> - Mentor & Committer
>> > >
>> > > * Nishant Bangarwa <nb...@hortonworks.com> - PMC & Committer
>> > >
>> > > * Slim Bouguerra <sb...@hortonworks.com> - Committer
>> > >
>> > > * Priyank Shah <ps...@hortonworks.com> - Committer
>> > >
>> > > * Harsha Chintalapani <sc...@hortonworks.com> - Committer
>> > >
>> > > * Daniel Dai <da...@apache.org> - Champion & Committer
>> > >
>> > > == Affiliations ==
>> > >
>> > > The initial committers are employees of Airbnb Inc. and Hortonworks.
>> > >
>> > > == Sponsors ==
>> > >
>> > > === Champion ===
>> > >
>> > > Daniel Dai <da...@apache.org>
>> > >
>> > > === Nominated Mentors ===
>> > >
>> > > Ashutosh Chauhan <ha...@apache.org>
>> > >
>> > > === Sponsoring Entity ===
>> > >
>> > > Incubator PMC
>> > >
>> > >
>> > > --
>> > >
>> > > *Jeff Feng*
>> > > Product Manager
>> > > m: (949)-610-5108 <(949)%20610-5108> <(949)%20610-5108>
>> > > twitter: @jtfeng
>> > >
>> >
>>
--
My introduction https://youtu.be/Ln4vly5sxYU
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Re: [PROPOSAL] Superset Proposal for Apache Incubator
Posted by "P. Taylor Goetz" <pt...@gmail.com>.
Hi Jeff,
With the change to the proposal on the wiki, it now differs from the proposal text in the VOTE email. The reason we include the proposal text in the VOTE thread is because it represents the state of the proposal (which being a wiki page, is inherently mutable) at the time of the VOTE.
It's largely technical/procedural, but I would recommend cancelling the current vote and let the DISCUSS thread play out a little longer.
Not that calling a VOTE was wrong or premature, the thread had died down. But oftentimes the actual VOTE thread is what kicks IPMC members toward taking a closer look at a proposal. (We, the IPMC, are an imperfect group of volunteers. :) )
-Taylor
> On Apr 25, 2017, at 3:17 AM, Jeff Feng <je...@gmail.com> wrote:
>
> Thanks John and Max - I have updated the proposal wiki to reflect this
> update. It now reads:
>
> Source and Intellectual Property Submission Plan
>
> Airbnb will submit a Software Grant Agreement (SGA) as Superset joins the
> incubator. We do not expect any complications for the submission of the
> Superset code base. Our code is already in Github and there is only a
> single code base.
>
>
> On Mon, Apr 24, 2017 at 11:32 PM, Maxime Beauchemin <
> maximebeauchemin@gmail.com> wrote:
>
>> "Airbnb will submit a Software Grant Agreement (SGA) as Superset joins the
>> incubator."
>>
>> Should I add this sentence in the proposal?
>>
>> Max
>>
>> On Mon, Apr 24, 2017 at 5:48 AM, John D. Ament <jo...@apache.org>
>> wrote:
>>
>>> I missed this discussion. In your IP section, you list out:
>>>
>>> == Source and Intellectual Property Submission Plan ==
>>> We do not expect any complications for the submission of the Superset
>> code
>>> base. Our code is already in Github and there is only a single code
>> base.
>>>
>>> This IMHO not clear. Does Airbnb plan to submit a SGA for Superset, or
>>> expect that no SGA is required because its Apache licensed?
>>>
>>> John
>>>
>>> On Sun, Apr 2, 2017 at 4:09 PM Jeff Feng <je...@airbnb.com.invalid>
>>> wrote:
>>>
>>>> Dear Apache Incubator Community,
>>>>
>>>> We are excited to share our proposal for discussion and feedback for
>>>> entering Apache Incubation. Superset is an enterprise-ready web
>>>> application for data exploration, data visualization and dashboarding.
>>>>
>>>> Our Incubation proposal is at the following Wiki as well as copied in
>> the
>>>> email below:
>>>>
>>>> https://wiki.apache.org/incubator/SupersetProposal
>>>>
>>>> We have an active Superset community including 400+ members and nearly
>>> 200
>>>> topics. The Google Group can be found below. We plan to move the
>>>> discussion to the ASF:
>>>>
>>>> https://groups.google.com/forum/#!forum/airbnb_superset
>>>>
>>>> Thank you and look forward to the discussion!
>>>>
>>>> Jeff, Max & Alanna
>>>>
>>>>
>>>>
>>>>
>>>> = Superset =
>>>>
>>>> == Abstract ==
>>>>
>>>> Superset is an enterprise-ready web application for data exploration,
>>> data
>>>> visualization and dashboarding.
>>>>
>>>> == Proposal ==
>>>>
>>>> Superset is business intelligence (BI) software that helps modern
>>>> organizations visualize and interact with their data. Superset enables
>>>> users explore data from a variety of databases, assemble beautiful
>>>> dashboards and share their findings. Superset works neatly with all
>>> modern
>>>> SQL-speaking databases, and integrates with Druid.io to provide
>>> real-time,
>>>> interactive, blazing fast data access to large datasets.
>>>>
>>>> == Background ==
>>>>
>>>> Data is mission critical. To succeed in this era, organizations need to
>>>> provide low-friction, intuitive and interactive access to data. It is
>>>> paramount for knowledge workers to be capable of answering their own
>>>> questions by querying, exploring and visualizing data.
>>>>
>>>> The entire business intelligence industry has pivoted from a model of
>>>> centralized top-down platforms driven by IT organizations to
>> self-service
>>>> analytics and agile workflows by any user. This shift unblocks
>>> centralized
>>>> service bottlenecks for creating data visualizations while also
>> creating
>>> an
>>>> environment that is iterative and fast-moving. This means that
>> business
>>>> intelligence software must also be easy and delightful to use.
>>>> Self-service analytics doesn’t mean that admin and governance features
>>> are
>>>> not needed.
>>>>
>>>> Modern BI tools provide fine-grain access controls and auditing
>>>> capabilities to understand how data is being used. Superset is a
>>> solution
>>>> that delivers on all of these vectors.
>>>>
>>>> The technology stack is also constantly morphing - vendors are
>> struggling
>>>> to provide cheap, quick and easy solutions to access data. Business
>>>> intelligence users are finding existing solutions lacking as these
>>> software
>>>> products either disregard or react slowly to recent game-changing
>>>> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin,
>> d3.js,
>>>> React.js and iPython’s Jupyter for instance.
>>>>
>>>> == Rationale ==
>>>>
>>>> Business intelligence is more relevant today than at any other point in
>>>> history. Organizations are currently very limited in options for open
>>>> source data visualization solutions, especially solutions that are both
>>>> self-service and enterprise-ready. Every company informing their
>>> decisions
>>>> with data needs a BI tool.
>>>>
>>>> We believe that Superset will be a strong compliment to existing Apache
>>>> Software Foundation technologies by offering scalable user interactions
>>> to
>>>> distributed storage and computation solutions. Users will often find
>>> that
>>>> Superset can act as a catalyst for tooling that can visualize the
>>> byproduct
>>>> of data and computation infrastructure.
>>>>
>>>> Superset has many key design elements that help fill a gap in current
>>>> solutions for organizations:
>>>>
>>>> * Easy, low friction access to data through a simple, web-based data
>>>> exploration interface. Composing charts and dashboards are intuitive.
>>>> Eliminating the need to write code or SQL empowers anyone to use it.
>>>>
>>>> * Access to a wide array of rich, interactive data visualization types.
>>>>
>>>> * Enterprise-ready: Integration with different authentication
>> mechanisms
>>>> and granular permissions centered around actions and data access.
>>>>
>>>> * Realtime & fast: Superset provides realtime analytics at the speed of
>>>> thought on very large datasets when integrated with Druid.io.
>>>>
>>>> * Broad data access: Consume data out of any SQL-speaking relational
>>>> database.
>>>>
>>>> * Extensible: Can be extended to talk to many noSQL databases like
>> Apache
>>>> Drill, Elastic Search, and other popular database engines.
>>>>
>>>> * Fast loading dashboards with configurable web-scale caching.
>>>>
>>>> * Plug-in framework that enables organizations to build custom
>> analytical
>>>> applications with new UI/UX interfaces.
>>>>
>>>> * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users
>>> with
>>>> more flexibility. SQL Lab integrates with the visualization engine
>>>> seamlessly.
>>>>
>>>> == Initial Goals ==
>>>>
>>>> The initial goals of the Superset project are several-fold:
>>>>
>>>> Move the existing codebase to Apache and integrate with the Apache
>>>> development process.
>>>>
>>>> Redesign the user interface and interaction model for creating
>>>> visualizations/dashboards and connecting to data sources
>>>>
>>>> Build robust support for security and governance of the tool including
>>>> popular authorization modules (including Apache Ranger and Apache
>> Sentry)
>>>> and a more sophisticated permissions system
>>>>
>>>> Grow the extensibility of the project both in terms of enhanced
>>>> connectivity to NoSQL-based data sources and creating a plug-in
>> framework
>>>> that enables organizations to build custom analytical applications
>> which
>>>> require a new UI/UX
>>>>
>>>> == Current Status ==
>>>>
>>>> By many standards, Superset is already a successful open source
>> project.
>>> As
>>>> of March 2017, Superset is officially used in production at about a
>> dozen
>>>> companies, has received contributions from over one hundred
>> contributors
>>> on
>>>> Github, 1500+ forks, and 12k+ stars.
>>>>
>>>> Sizeable companies like Airbnb, Yahoo! and Hortonworks have made
>>>> significant contributions, and expressed their commitment to the
>> project.
>>>> The product is feature complete and has been viable for months. It
>>> already
>>>> serves as the main interface for consuming data at many companies of
>>>> different sizes.
>>>>
>>>> While the product is usable, there’s room for improvement across the
>>> board,
>>>> starting with providing a smoother user experience around content
>>> creation,
>>>> making sure all features work out-of-the-box on more platforms and
>>>> databases, providing better user training guides and videos, having a
>>>> predictable release process, and increasing the overall quality of the
>>>> Superset releases.
>>>>
>>>> === Meritocracy ===
>>>>
>>>> We plan to invest in supporting a meritocracy. We will discuss the
>>>> requirements in an open forum. Several companies have expressed
>> interest
>>> in
>>>> this project, and we intend to invite additional developers to
>>> participate.
>>>> We will encourage and monitor community participation so that
>> privileges
>>>> can be extended to those that contribute.
>>>>
>>>> === Community ===
>>>>
>>>> The need for an enterprise-ready data visualization and exploration
>>>> platform in the open source community is tremendous. While Superset is
>>>> fairly well known, recognized and used within the Druid.io community,
>>>> adoption is currently limited outside of that niche. There is a huge
>>>> opportunity to grow the community to hundreds if not thousands of
>>>> organizations, and we are hoping that embracing “the Apache way” will
>>>> accelerate the growth of our community.
>>>>
>>>> We have already been active at seeking and inviting contributions, and
>>> are
>>>> planning to scale the project by investing time and growing the support
>>>> structure to grow the community.
>>>>
>>>> === Core Developers ===
>>>>
>>>> The initial committers for Superset include experienced full stack,
>>>> front-end and data engineers:
>>>>
>>>> * Maxime Beauchemin (Airbnb)
>>>>
>>>> * Alanna Scott (Airbnb)
>>>>
>>>> * Bogdan Kyryliuk (Airbnb)
>>>>
>>>> * Vera Liu (Airbnb)
>>>>
>>>> * Jeff Feng (Airbnb)
>>>>
>>>> * Ashutosh Chauhan (Hortonworks)
>>>>
>>>> * Nishant Bangarwa (Hortonworks)
>>>>
>>>> * Slim Bouguerra (Hortonworks)
>>>>
>>>> * Priyank Shah (Hortonworks)
>>>>
>>>> * Sriharsha Chintalapani (Hortonworks)
>>>>
>>>> * Daniel Dai (Hortonworks)
>>>>
>>>> We realize that additional employer diversity is needed, and we will
>> work
>>>> aggressively to recruit developers from additional companies.
>>>>
>>>> === Alignment ===
>>>>
>>>> The initial committers strongly believe that a system for interactive
>>>> visualization of data will gain broader adoption as an open source,
>>>> community driven project, where the community can contribute not only
>> to
>>>> the core components, but also to a growing collection of connectors,
>>>> visualizations and improving integration a all potential data sources.
>>>> Superset already integrates closely with Apache Hive, the Hive
>> metastore,
>>>> as well as most SQL-speaking databases found in modern data ecosystems.
>>>>
>>>> == Known Risks ==
>>>>
>>>> === Orphaned Products ===
>>>>
>>>> Superset is a vital component for both visualizing, accessing and
>>>> democratizing data at Airbnb. Also at Hortonworks, Superset is a core
>>>> component of the DataFlow product offering. Thus, the risk of the
>>> project
>>>> being orphaned is relatively low. The project could be at risk if
>> Airbnb
>>>> changes their approach for democratizing data or if Hortonworks changes
>>>> their strategy in the market. In such an event, the committers plan to
>>>> continue working on the project on their own time, thought the progress
>>>> will likely be slower. We plan to mitigate this risk by recruiting
>>>> additional committers.
>>>>
>>>> === Inexperience with Open Source ===
>>>>
>>>> The initial committers include veteran Apache members (committers and
>> PMC
>>>> members) and other developers who have varying degrees of experience
>> with
>>>> open source projects. All have been involved with source code that has
>>> been
>>>> released under an open source license, and several also have experience
>>>> developing code with an open source development process.
>>>>
>>>> === Homogenous Developers ===
>>>>
>>>> The initial committers are employed by Airbnb Inc., and Hortonworks. We
>>> are
>>>> committed to recruiting additional committers from other companies.
>>>>
>>>> === Reliance on Salaried Developers ===
>>>>
>>>> It is expected that Superset development will occur on both salaried
>> time
>>>> and on volunteer time, after hours. The majority of initial committers
>>> are
>>>> paid by their employer to contribute to this project. However, they are
>>> all
>>>> passionate about the project, and we are confident that the project
>> will
>>>> continue even if no salaried developers contribute to the project. We
>> are
>>>> committed to recruiting additional committers including non-salaried
>>>> developers.
>>>>
>>>> === Relationships with Other Apache Products ===
>>>>
>>>> To the knowledge of the Initial Committers, there are no direct
>>> competitors
>>>> to Superset within the Apache Software Foundation. That said, Apache
>>>> Zeppelin is an indirect competitor, but it solves a different use case.
>>>>
>>>> Apache Zeppelin is a web-based notebook that enables interactive data
>>>> analytics. It enables the creation of beautiful data-driven,
>> interactive
>>>> and collaborative documents with SQL, Scala and more. Although a user
>>> can
>>>> create data visualizations using this project, it leverages a notebook
>>>> style user interfaces and it is geared towards the Spark community
>> where
>>>> Scala and SQL co-exist
>>>>
>>>> We look forward to collaborating with those communities, as well as
>> other
>>>> Apache communities.
>>>>
>>>> === An Excessive Fascination with the Apache Brand ===
>>>>
>>>> Superset is solving two huge challenges:
>>>>
>>>> The challenge of enabling every knowledge worker to make data informed
>>>> decisions, particularly those who are not deeply skilled at writing
>> SQL.
>>>>
>>>> The challenge of visualizing huge amounts of data interactively and in
>>>> real-time
>>>>
>>>> Superset was first developed as a data visualization solution for
>>> Druid.io
>>>> as a way to visualize billions of rows of data. Since then, usage of
>>>> Superset has expanded to address data visualization use cases across
>> SQL
>>>> speaking data sources as well.
>>>>
>>>> Our rationale for developing Superset as an Apache project is detailed
>> in
>>>> the Rationale Section. We believe that the Apache brand and community
>>>> process will help us attract more contributors to this project, and
>> help
>>>> grow the footprint of the project through usage at other organizations
>>> and
>>>> within other applications. Establishing consensus among users and
>>>> developers will result in a more valuable tool for everyone.
>>>>
>>>> == Documentation ==
>>>>
>>>> References to further reading material:
>>>>
>>>> * [[http://airbnb.io/superset/|Superset Documentation]]
>>>>
>>>> * [[https://medium.com/airbnb-engineering/caravel-airbnb-s-dat
>>>> a-exploration-platform-15a72aa610e5#.npqmmbu25|Blog Post: Superset:
>>>> Airbnb’s Data Exploration Platform]]
>>>>
>>>> * [[https://medium.com/airbnb-engineering/superset-scaling-dat
>>>> a-access-and-visual-insights-at-airbnb-3ce3e9b88a7f#.a505zvb1t|Blog
>>> Post:
>>>> Superset: Scaling Data Access & Visual Insights at Airbnb]]
>>>>
>>>> == Initial Source ==
>>>>
>>>> The origin of the proposed code base can be found at
>>>> https://github.com/airbnb/superset. The code base is primarily in
>>> Python.
>>>>
>>>> == Source and Intellectual Property Submission Plan ==
>>>>
>>>> We do not expect any complications for the submission of the Superset
>>> code
>>>> base. Our code is already in Github and there is only a single code
>>> base.
>>>>
>>>> == External Dependencies ==
>>>>
>>>> List of Python packages, from the Python Package Index (Pypi):
>>>>
>>>> * boto3
>>>>
>>>> * celery
>>>>
>>>> * cryptography
>>>>
>>>> * flask-appbuilder
>>>>
>>>> * flask-cache
>>>>
>>>> * flask-migrate
>>>>
>>>> * flask-script
>>>>
>>>> * flask-sqlalchemy
>>>>
>>>> * flask-testing
>>>>
>>>> * humanize
>>>>
>>>> * gunicorn
>>>>
>>>> * markdown
>>>>
>>>> * pandas
>>>>
>>>> * parsedatetime
>>>>
>>>> * pydruid
>>>>
>>>> * PyHive
>>>>
>>>> * python-dateutil
>>>>
>>>> * requests
>>>>
>>>> * simplejson
>>>>
>>>> * six
>>>>
>>>> * sqlalchemy
>>>>
>>>> * sqlalchemy-utils
>>>>
>>>> * sqlparse
>>>>
>>>> * thrift
>>>>
>>>> * thrift-sasl
>>>>
>>>> * werkzeug
>>>>
>>>> List of Javascript packages, from NPM:
>>>>
>>>> * autobind-decorator
>>>>
>>>> * bootstrap
>>>>
>>>> * bootstrap-datepicker
>>>>
>>>> * brace
>>>>
>>>> * brfs
>>>>
>>>> * cal-heatmap
>>>>
>>>> * classnames
>>>>
>>>> * d3
>>>>
>>>> * d3-cloud
>>>>
>>>> * d3-sankey
>>>>
>>>> * d3-scale
>>>>
>>>> * d3-tip
>>>>
>>>> * datamaps
>>>>
>>>> * datatables-bootstrap3-plugin
>>>>
>>>> * datatables.net-bs
>>>>
>>>> * font-awesome
>>>>
>>>> * gridster
>>>>
>>>> * immutability-helper
>>>>
>>>> * immutable
>>>>
>>>> * jquery
>>>>
>>>> * lodash.throttle
>>>>
>>>> * mapbox-gl
>>>>
>>>> * moment
>>>>
>>>> * moments
>>>>
>>>> * mustache
>>>>
>>>> * nvd3
>>>>
>>>> * react
>>>>
>>>> * react-ace
>>>>
>>>> * react-bootstrap
>>>>
>>>> * react-bootstrap-table
>>>>
>>>> * react-dom
>>>>
>>>> * react-draggable
>>>>
>>>> * react-gravatar
>>>>
>>>> * react-grid-layout
>>>>
>>>> * react-map-gl
>>>>
>>>> * react-redux
>>>>
>>>> * react-resizable
>>>>
>>>> * react-select
>>>>
>>>> * react-syntax-highlighter
>>>>
>>>> * reactable
>>>>
>>>> * redux
>>>>
>>>> * redux-localstorage
>>>>
>>>> * redux-thunk
>>>>
>>>> * shortid
>>>>
>>>> * style-loader
>>>>
>>>> * supercluster
>>>>
>>>> * topojson
>>>>
>>>> * victory
>>>>
>>>> * viewport-mercator-project
>>>>
>>>> == Cryptography ==
>>>>
>>>> The proposal does not include cryptographic code.
>>>>
>>>> == Required Resources ==
>>>>
>>>> === Mailing List ===
>>>>
>>>> There is a current mailing list as a Google Group “airbnb_superset”
>> that
>>> we
>>>> are planning on deprecating as the Apache.org become ready to serve our
>>>> community.
>>>>
>>>> * superset-private
>>>>
>>>> * superset-dev
>>>>
>>>> * superset-user
>>>>
>>>> === Subversion Directory ===
>>>>
>>>> Git is the preferred source control system.
>>> http://svn.apache.org/repos/as
>>>> f/incubator/superset <http://svn.apache.org/repos/
>> asf/incubator/superset
>>>>
>>>>
>>>> == Git Repository ==
>>>>
>>>> Git is the preferred source control system, we’re assuming
>>>> https://github.com/apache/incubator-superset based on the naming
>> scheme
>>>>
>>>> == Issue Tracking ==
>>>>
>>>> JIRA Superset (SUPERSET). If possible, we’d like to use Github issues &
>>> PRs
>>>> to manage our project as much as possible. It’s been said that there
>> are
>>>> ways to keep Github’s issues in sync with Jira, allowing us to get best
>>> of
>>>> both worlds. If that is not possible, we will comply to using Jira.
>>>>
>>>> == Other Resources ==
>>>>
>>>> We currently use a set of Github integrated services that are free to
>> the
>>>> open source community, like Travis-ci, Code Climate, Coveralls,
>>>> Landscape.io, Requires.io, david-dm and Gitter. We would like to keep
>>> using
>>>> these services as they allow us to scale contributions and optimize our
>>>> development flows. These services require some elevated rights on the
>>>> Github repository in order to set up or tune and we would like for the
>>>> committers to have the required rights.
>>>>
>>>>
>>>> == Initial Committers ==
>>>>
>>>> * Maxime Beauchemin <ma...@airbnb.com> - PMC & Committer
>>>>
>>>> * Alanna Scott <al...@airbnb.com> - PMC & Committer
>>>>
>>>> * Bogdan Kyryliuk <b....@gmail.com> - PMC & Committer
>>>>
>>>> * Vera Liu <ve...@airbnb.com> - Committer
>>>>
>>>> * Jeff Feng <je...@airbnb.com> - PMC & Committer
>>>>
>>>> * Ashutosh Chauhan <ha...@apache.org> - Mentor & Committer
>>>>
>>>> * Nishant Bangarwa <nb...@hortonworks.com> - PMC & Committer
>>>>
>>>> * Slim Bouguerra <sb...@hortonworks.com> - Committer
>>>>
>>>> * Priyank Shah <ps...@hortonworks.com> - Committer
>>>>
>>>> * Harsha Chintalapani <sc...@hortonworks.com> - Committer
>>>>
>>>> * Daniel Dai <da...@apache.org> - Champion & Committer
>>>>
>>>> == Affiliations ==
>>>>
>>>> The initial committers are employees of Airbnb Inc. and Hortonworks.
>>>>
>>>> == Sponsors ==
>>>>
>>>> === Champion ===
>>>>
>>>> Daniel Dai <da...@apache.org>
>>>>
>>>> === Nominated Mentors ===
>>>>
>>>> Ashutosh Chauhan <ha...@apache.org>
>>>>
>>>> === Sponsoring Entity ===
>>>>
>>>> Incubator PMC
>>>>
>>>>
>>>> --
>>>>
>>>> *Jeff Feng*
>>>> Product Manager
>>>> m: (949)-610-5108 <(949)%20610-5108> <(949)%20610-5108>
>>>> twitter: @jtfeng
>>>>
>>>
>>
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Re: [PROPOSAL] Superset Proposal for Apache Incubator
Posted by Jeff Feng <je...@gmail.com>.
Thanks John and Max - I have updated the proposal wiki to reflect this
update. It now reads:
Source and Intellectual Property Submission Plan
Airbnb will submit a Software Grant Agreement (SGA) as Superset joins the
incubator. We do not expect any complications for the submission of the
Superset code base. Our code is already in Github and there is only a
single code base.
On Mon, Apr 24, 2017 at 11:32 PM, Maxime Beauchemin <
maximebeauchemin@gmail.com> wrote:
> "Airbnb will submit a Software Grant Agreement (SGA) as Superset joins the
> incubator."
>
> Should I add this sentence in the proposal?
>
> Max
>
> On Mon, Apr 24, 2017 at 5:48 AM, John D. Ament <jo...@apache.org>
> wrote:
>
> > I missed this discussion. In your IP section, you list out:
> >
> > == Source and Intellectual Property Submission Plan ==
> > We do not expect any complications for the submission of the Superset
> code
> > base. Our code is already in Github and there is only a single code
> base.
> >
> > This IMHO not clear. Does Airbnb plan to submit a SGA for Superset, or
> > expect that no SGA is required because its Apache licensed?
> >
> > John
> >
> > On Sun, Apr 2, 2017 at 4:09 PM Jeff Feng <je...@airbnb.com.invalid>
> > wrote:
> >
> > > Dear Apache Incubator Community,
> > >
> > > We are excited to share our proposal for discussion and feedback for
> > > entering Apache Incubation. Superset is an enterprise-ready web
> > > application for data exploration, data visualization and dashboarding.
> > >
> > > Our Incubation proposal is at the following Wiki as well as copied in
> the
> > > email below:
> > >
> > > https://wiki.apache.org/incubator/SupersetProposal
> > >
> > > We have an active Superset community including 400+ members and nearly
> > 200
> > > topics. The Google Group can be found below. We plan to move the
> > > discussion to the ASF:
> > >
> > > https://groups.google.com/forum/#!forum/airbnb_superset
> > >
> > > Thank you and look forward to the discussion!
> > >
> > > Jeff, Max & Alanna
> > >
> > >
> > >
> > >
> > > = Superset =
> > >
> > > == Abstract ==
> > >
> > > Superset is an enterprise-ready web application for data exploration,
> > data
> > > visualization and dashboarding.
> > >
> > > == Proposal ==
> > >
> > > Superset is business intelligence (BI) software that helps modern
> > > organizations visualize and interact with their data. Superset enables
> > > users explore data from a variety of databases, assemble beautiful
> > > dashboards and share their findings. Superset works neatly with all
> > modern
> > > SQL-speaking databases, and integrates with Druid.io to provide
> > real-time,
> > > interactive, blazing fast data access to large datasets.
> > >
> > > == Background ==
> > >
> > > Data is mission critical. To succeed in this era, organizations need to
> > > provide low-friction, intuitive and interactive access to data. It is
> > > paramount for knowledge workers to be capable of answering their own
> > > questions by querying, exploring and visualizing data.
> > >
> > > The entire business intelligence industry has pivoted from a model of
> > > centralized top-down platforms driven by IT organizations to
> self-service
> > > analytics and agile workflows by any user. This shift unblocks
> > centralized
> > > service bottlenecks for creating data visualizations while also
> creating
> > an
> > > environment that is iterative and fast-moving. This means that
> business
> > > intelligence software must also be easy and delightful to use.
> > > Self-service analytics doesn’t mean that admin and governance features
> > are
> > > not needed.
> > >
> > > Modern BI tools provide fine-grain access controls and auditing
> > > capabilities to understand how data is being used. Superset is a
> > solution
> > > that delivers on all of these vectors.
> > >
> > > The technology stack is also constantly morphing - vendors are
> struggling
> > > to provide cheap, quick and easy solutions to access data. Business
> > > intelligence users are finding existing solutions lacking as these
> > software
> > > products either disregard or react slowly to recent game-changing
> > > technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin,
> d3.js,
> > > React.js and iPython’s Jupyter for instance.
> > >
> > > == Rationale ==
> > >
> > > Business intelligence is more relevant today than at any other point in
> > > history. Organizations are currently very limited in options for open
> > > source data visualization solutions, especially solutions that are both
> > > self-service and enterprise-ready. Every company informing their
> > decisions
> > > with data needs a BI tool.
> > >
> > > We believe that Superset will be a strong compliment to existing Apache
> > > Software Foundation technologies by offering scalable user interactions
> > to
> > > distributed storage and computation solutions. Users will often find
> > that
> > > Superset can act as a catalyst for tooling that can visualize the
> > byproduct
> > > of data and computation infrastructure.
> > >
> > > Superset has many key design elements that help fill a gap in current
> > > solutions for organizations:
> > >
> > > * Easy, low friction access to data through a simple, web-based data
> > > exploration interface. Composing charts and dashboards are intuitive.
> > > Eliminating the need to write code or SQL empowers anyone to use it.
> > >
> > > * Access to a wide array of rich, interactive data visualization types.
> > >
> > > * Enterprise-ready: Integration with different authentication
> mechanisms
> > > and granular permissions centered around actions and data access.
> > >
> > > * Realtime & fast: Superset provides realtime analytics at the speed of
> > > thought on very large datasets when integrated with Druid.io.
> > >
> > > * Broad data access: Consume data out of any SQL-speaking relational
> > > database.
> > >
> > > * Extensible: Can be extended to talk to many noSQL databases like
> Apache
> > > Drill, Elastic Search, and other popular database engines.
> > >
> > > * Fast loading dashboards with configurable web-scale caching.
> > >
> > > * Plug-in framework that enables organizations to build custom
> analytical
> > > applications with new UI/UX interfaces.
> > >
> > > * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users
> > with
> > > more flexibility. SQL Lab integrates with the visualization engine
> > > seamlessly.
> > >
> > > == Initial Goals ==
> > >
> > > The initial goals of the Superset project are several-fold:
> > >
> > > Move the existing codebase to Apache and integrate with the Apache
> > > development process.
> > >
> > > Redesign the user interface and interaction model for creating
> > > visualizations/dashboards and connecting to data sources
> > >
> > > Build robust support for security and governance of the tool including
> > > popular authorization modules (including Apache Ranger and Apache
> Sentry)
> > > and a more sophisticated permissions system
> > >
> > > Grow the extensibility of the project both in terms of enhanced
> > > connectivity to NoSQL-based data sources and creating a plug-in
> framework
> > > that enables organizations to build custom analytical applications
> which
> > > require a new UI/UX
> > >
> > > == Current Status ==
> > >
> > > By many standards, Superset is already a successful open source
> project.
> > As
> > > of March 2017, Superset is officially used in production at about a
> dozen
> > > companies, has received contributions from over one hundred
> contributors
> > on
> > > Github, 1500+ forks, and 12k+ stars.
> > >
> > > Sizeable companies like Airbnb, Yahoo! and Hortonworks have made
> > > significant contributions, and expressed their commitment to the
> project.
> > > The product is feature complete and has been viable for months. It
> > already
> > > serves as the main interface for consuming data at many companies of
> > > different sizes.
> > >
> > > While the product is usable, there’s room for improvement across the
> > board,
> > > starting with providing a smoother user experience around content
> > creation,
> > > making sure all features work out-of-the-box on more platforms and
> > > databases, providing better user training guides and videos, having a
> > > predictable release process, and increasing the overall quality of the
> > > Superset releases.
> > >
> > > === Meritocracy ===
> > >
> > > We plan to invest in supporting a meritocracy. We will discuss the
> > > requirements in an open forum. Several companies have expressed
> interest
> > in
> > > this project, and we intend to invite additional developers to
> > participate.
> > > We will encourage and monitor community participation so that
> privileges
> > > can be extended to those that contribute.
> > >
> > > === Community ===
> > >
> > > The need for an enterprise-ready data visualization and exploration
> > > platform in the open source community is tremendous. While Superset is
> > > fairly well known, recognized and used within the Druid.io community,
> > > adoption is currently limited outside of that niche. There is a huge
> > > opportunity to grow the community to hundreds if not thousands of
> > > organizations, and we are hoping that embracing “the Apache way” will
> > > accelerate the growth of our community.
> > >
> > > We have already been active at seeking and inviting contributions, and
> > are
> > > planning to scale the project by investing time and growing the support
> > > structure to grow the community.
> > >
> > > === Core Developers ===
> > >
> > > The initial committers for Superset include experienced full stack,
> > > front-end and data engineers:
> > >
> > > * Maxime Beauchemin (Airbnb)
> > >
> > > * Alanna Scott (Airbnb)
> > >
> > > * Bogdan Kyryliuk (Airbnb)
> > >
> > > * Vera Liu (Airbnb)
> > >
> > > * Jeff Feng (Airbnb)
> > >
> > > * Ashutosh Chauhan (Hortonworks)
> > >
> > > * Nishant Bangarwa (Hortonworks)
> > >
> > > * Slim Bouguerra (Hortonworks)
> > >
> > > * Priyank Shah (Hortonworks)
> > >
> > > * Sriharsha Chintalapani (Hortonworks)
> > >
> > > * Daniel Dai (Hortonworks)
> > >
> > > We realize that additional employer diversity is needed, and we will
> work
> > > aggressively to recruit developers from additional companies.
> > >
> > > === Alignment ===
> > >
> > > The initial committers strongly believe that a system for interactive
> > > visualization of data will gain broader adoption as an open source,
> > > community driven project, where the community can contribute not only
> to
> > > the core components, but also to a growing collection of connectors,
> > > visualizations and improving integration a all potential data sources.
> > > Superset already integrates closely with Apache Hive, the Hive
> metastore,
> > > as well as most SQL-speaking databases found in modern data ecosystems.
> > >
> > > == Known Risks ==
> > >
> > > === Orphaned Products ===
> > >
> > > Superset is a vital component for both visualizing, accessing and
> > > democratizing data at Airbnb. Also at Hortonworks, Superset is a core
> > > component of the DataFlow product offering. Thus, the risk of the
> > project
> > > being orphaned is relatively low. The project could be at risk if
> Airbnb
> > > changes their approach for democratizing data or if Hortonworks changes
> > > their strategy in the market. In such an event, the committers plan to
> > > continue working on the project on their own time, thought the progress
> > > will likely be slower. We plan to mitigate this risk by recruiting
> > > additional committers.
> > >
> > > === Inexperience with Open Source ===
> > >
> > > The initial committers include veteran Apache members (committers and
> PMC
> > > members) and other developers who have varying degrees of experience
> with
> > > open source projects. All have been involved with source code that has
> > been
> > > released under an open source license, and several also have experience
> > > developing code with an open source development process.
> > >
> > > === Homogenous Developers ===
> > >
> > > The initial committers are employed by Airbnb Inc., and Hortonworks. We
> > are
> > > committed to recruiting additional committers from other companies.
> > >
> > > === Reliance on Salaried Developers ===
> > >
> > > It is expected that Superset development will occur on both salaried
> time
> > > and on volunteer time, after hours. The majority of initial committers
> > are
> > > paid by their employer to contribute to this project. However, they are
> > all
> > > passionate about the project, and we are confident that the project
> will
> > > continue even if no salaried developers contribute to the project. We
> are
> > > committed to recruiting additional committers including non-salaried
> > > developers.
> > >
> > > === Relationships with Other Apache Products ===
> > >
> > > To the knowledge of the Initial Committers, there are no direct
> > competitors
> > > to Superset within the Apache Software Foundation. That said, Apache
> > > Zeppelin is an indirect competitor, but it solves a different use case.
> > >
> > > Apache Zeppelin is a web-based notebook that enables interactive data
> > > analytics. It enables the creation of beautiful data-driven,
> interactive
> > > and collaborative documents with SQL, Scala and more. Although a user
> > can
> > > create data visualizations using this project, it leverages a notebook
> > > style user interfaces and it is geared towards the Spark community
> where
> > > Scala and SQL co-exist
> > >
> > > We look forward to collaborating with those communities, as well as
> other
> > > Apache communities.
> > >
> > > === An Excessive Fascination with the Apache Brand ===
> > >
> > > Superset is solving two huge challenges:
> > >
> > > The challenge of enabling every knowledge worker to make data informed
> > > decisions, particularly those who are not deeply skilled at writing
> SQL.
> > >
> > > The challenge of visualizing huge amounts of data interactively and in
> > > real-time
> > >
> > > Superset was first developed as a data visualization solution for
> > Druid.io
> > > as a way to visualize billions of rows of data. Since then, usage of
> > > Superset has expanded to address data visualization use cases across
> SQL
> > > speaking data sources as well.
> > >
> > > Our rationale for developing Superset as an Apache project is detailed
> in
> > > the Rationale Section. We believe that the Apache brand and community
> > > process will help us attract more contributors to this project, and
> help
> > > grow the footprint of the project through usage at other organizations
> > and
> > > within other applications. Establishing consensus among users and
> > > developers will result in a more valuable tool for everyone.
> > >
> > > == Documentation ==
> > >
> > > References to further reading material:
> > >
> > > * [[http://airbnb.io/superset/|Superset Documentation]]
> > >
> > > * [[https://medium.com/airbnb-engineering/caravel-airbnb-s-dat
> > > a-exploration-platform-15a72aa610e5#.npqmmbu25|Blog Post: Superset:
> > > Airbnb’s Data Exploration Platform]]
> > >
> > > * [[https://medium.com/airbnb-engineering/superset-scaling-dat
> > > a-access-and-visual-insights-at-airbnb-3ce3e9b88a7f#.a505zvb1t|Blog
> > Post:
> > > Superset: Scaling Data Access & Visual Insights at Airbnb]]
> > >
> > > == Initial Source ==
> > >
> > > The origin of the proposed code base can be found at
> > > https://github.com/airbnb/superset. The code base is primarily in
> > Python.
> > >
> > > == Source and Intellectual Property Submission Plan ==
> > >
> > > We do not expect any complications for the submission of the Superset
> > code
> > > base. Our code is already in Github and there is only a single code
> > base.
> > >
> > > == External Dependencies ==
> > >
> > > List of Python packages, from the Python Package Index (Pypi):
> > >
> > > * boto3
> > >
> > > * celery
> > >
> > > * cryptography
> > >
> > > * flask-appbuilder
> > >
> > > * flask-cache
> > >
> > > * flask-migrate
> > >
> > > * flask-script
> > >
> > > * flask-sqlalchemy
> > >
> > > * flask-testing
> > >
> > > * humanize
> > >
> > > * gunicorn
> > >
> > > * markdown
> > >
> > > * pandas
> > >
> > > * parsedatetime
> > >
> > > * pydruid
> > >
> > > * PyHive
> > >
> > > * python-dateutil
> > >
> > > * requests
> > >
> > > * simplejson
> > >
> > > * six
> > >
> > > * sqlalchemy
> > >
> > > * sqlalchemy-utils
> > >
> > > * sqlparse
> > >
> > > * thrift
> > >
> > > * thrift-sasl
> > >
> > > * werkzeug
> > >
> > > List of Javascript packages, from NPM:
> > >
> > > * autobind-decorator
> > >
> > > * bootstrap
> > >
> > > * bootstrap-datepicker
> > >
> > > * brace
> > >
> > > * brfs
> > >
> > > * cal-heatmap
> > >
> > > * classnames
> > >
> > > * d3
> > >
> > > * d3-cloud
> > >
> > > * d3-sankey
> > >
> > > * d3-scale
> > >
> > > * d3-tip
> > >
> > > * datamaps
> > >
> > > * datatables-bootstrap3-plugin
> > >
> > > * datatables.net-bs
> > >
> > > * font-awesome
> > >
> > > * gridster
> > >
> > > * immutability-helper
> > >
> > > * immutable
> > >
> > > * jquery
> > >
> > > * lodash.throttle
> > >
> > > * mapbox-gl
> > >
> > > * moment
> > >
> > > * moments
> > >
> > > * mustache
> > >
> > > * nvd3
> > >
> > > * react
> > >
> > > * react-ace
> > >
> > > * react-bootstrap
> > >
> > > * react-bootstrap-table
> > >
> > > * react-dom
> > >
> > > * react-draggable
> > >
> > > * react-gravatar
> > >
> > > * react-grid-layout
> > >
> > > * react-map-gl
> > >
> > > * react-redux
> > >
> > > * react-resizable
> > >
> > > * react-select
> > >
> > > * react-syntax-highlighter
> > >
> > > * reactable
> > >
> > > * redux
> > >
> > > * redux-localstorage
> > >
> > > * redux-thunk
> > >
> > > * shortid
> > >
> > > * style-loader
> > >
> > > * supercluster
> > >
> > > * topojson
> > >
> > > * victory
> > >
> > > * viewport-mercator-project
> > >
> > > == Cryptography ==
> > >
> > > The proposal does not include cryptographic code.
> > >
> > > == Required Resources ==
> > >
> > > === Mailing List ===
> > >
> > > There is a current mailing list as a Google Group “airbnb_superset”
> that
> > we
> > > are planning on deprecating as the Apache.org become ready to serve our
> > > community.
> > >
> > > * superset-private
> > >
> > > * superset-dev
> > >
> > > * superset-user
> > >
> > > === Subversion Directory ===
> > >
> > > Git is the preferred source control system.
> > http://svn.apache.org/repos/as
> > > f/incubator/superset <http://svn.apache.org/repos/
> asf/incubator/superset
> > >
> > >
> > > == Git Repository ==
> > >
> > > Git is the preferred source control system, we’re assuming
> > > https://github.com/apache/incubator-superset based on the naming
> scheme
> > >
> > > == Issue Tracking ==
> > >
> > > JIRA Superset (SUPERSET). If possible, we’d like to use Github issues &
> > PRs
> > > to manage our project as much as possible. It’s been said that there
> are
> > > ways to keep Github’s issues in sync with Jira, allowing us to get best
> > of
> > > both worlds. If that is not possible, we will comply to using Jira.
> > >
> > > == Other Resources ==
> > >
> > > We currently use a set of Github integrated services that are free to
> the
> > > open source community, like Travis-ci, Code Climate, Coveralls,
> > > Landscape.io, Requires.io, david-dm and Gitter. We would like to keep
> > using
> > > these services as they allow us to scale contributions and optimize our
> > > development flows. These services require some elevated rights on the
> > > Github repository in order to set up or tune and we would like for the
> > > committers to have the required rights.
> > >
> > >
> > > == Initial Committers ==
> > >
> > > * Maxime Beauchemin <ma...@airbnb.com> - PMC & Committer
> > >
> > > * Alanna Scott <al...@airbnb.com> - PMC & Committer
> > >
> > > * Bogdan Kyryliuk <b....@gmail.com> - PMC & Committer
> > >
> > > * Vera Liu <ve...@airbnb.com> - Committer
> > >
> > > * Jeff Feng <je...@airbnb.com> - PMC & Committer
> > >
> > > * Ashutosh Chauhan <ha...@apache.org> - Mentor & Committer
> > >
> > > * Nishant Bangarwa <nb...@hortonworks.com> - PMC & Committer
> > >
> > > * Slim Bouguerra <sb...@hortonworks.com> - Committer
> > >
> > > * Priyank Shah <ps...@hortonworks.com> - Committer
> > >
> > > * Harsha Chintalapani <sc...@hortonworks.com> - Committer
> > >
> > > * Daniel Dai <da...@apache.org> - Champion & Committer
> > >
> > > == Affiliations ==
> > >
> > > The initial committers are employees of Airbnb Inc. and Hortonworks.
> > >
> > > == Sponsors ==
> > >
> > > === Champion ===
> > >
> > > Daniel Dai <da...@apache.org>
> > >
> > > === Nominated Mentors ===
> > >
> > > Ashutosh Chauhan <ha...@apache.org>
> > >
> > > === Sponsoring Entity ===
> > >
> > > Incubator PMC
> > >
> > >
> > > --
> > >
> > > *Jeff Feng*
> > > Product Manager
> > > m: (949)-610-5108 <(949)%20610-5108> <(949)%20610-5108>
> > > twitter: @jtfeng
> > >
> >
>
Re: [PROPOSAL] Superset Proposal for Apache Incubator
Posted by Maxime Beauchemin <ma...@gmail.com>.
"Airbnb will submit a Software Grant Agreement (SGA) as Superset joins the
incubator."
Should I add this sentence in the proposal?
Max
On Mon, Apr 24, 2017 at 5:48 AM, John D. Ament <jo...@apache.org>
wrote:
> I missed this discussion. In your IP section, you list out:
>
> == Source and Intellectual Property Submission Plan ==
> We do not expect any complications for the submission of the Superset code
> base. Our code is already in Github and there is only a single code base.
>
> This IMHO not clear. Does Airbnb plan to submit a SGA for Superset, or
> expect that no SGA is required because its Apache licensed?
>
> John
>
> On Sun, Apr 2, 2017 at 4:09 PM Jeff Feng <je...@airbnb.com.invalid>
> wrote:
>
> > Dear Apache Incubator Community,
> >
> > We are excited to share our proposal for discussion and feedback for
> > entering Apache Incubation. Superset is an enterprise-ready web
> > application for data exploration, data visualization and dashboarding.
> >
> > Our Incubation proposal is at the following Wiki as well as copied in the
> > email below:
> >
> > https://wiki.apache.org/incubator/SupersetProposal
> >
> > We have an active Superset community including 400+ members and nearly
> 200
> > topics. The Google Group can be found below. We plan to move the
> > discussion to the ASF:
> >
> > https://groups.google.com/forum/#!forum/airbnb_superset
> >
> > Thank you and look forward to the discussion!
> >
> > Jeff, Max & Alanna
> >
> >
> >
> >
> > = Superset =
> >
> > == Abstract ==
> >
> > Superset is an enterprise-ready web application for data exploration,
> data
> > visualization and dashboarding.
> >
> > == Proposal ==
> >
> > Superset is business intelligence (BI) software that helps modern
> > organizations visualize and interact with their data. Superset enables
> > users explore data from a variety of databases, assemble beautiful
> > dashboards and share their findings. Superset works neatly with all
> modern
> > SQL-speaking databases, and integrates with Druid.io to provide
> real-time,
> > interactive, blazing fast data access to large datasets.
> >
> > == Background ==
> >
> > Data is mission critical. To succeed in this era, organizations need to
> > provide low-friction, intuitive and interactive access to data. It is
> > paramount for knowledge workers to be capable of answering their own
> > questions by querying, exploring and visualizing data.
> >
> > The entire business intelligence industry has pivoted from a model of
> > centralized top-down platforms driven by IT organizations to self-service
> > analytics and agile workflows by any user. This shift unblocks
> centralized
> > service bottlenecks for creating data visualizations while also creating
> an
> > environment that is iterative and fast-moving. This means that business
> > intelligence software must also be easy and delightful to use.
> > Self-service analytics doesn’t mean that admin and governance features
> are
> > not needed.
> >
> > Modern BI tools provide fine-grain access controls and auditing
> > capabilities to understand how data is being used. Superset is a
> solution
> > that delivers on all of these vectors.
> >
> > The technology stack is also constantly morphing - vendors are struggling
> > to provide cheap, quick and easy solutions to access data. Business
> > intelligence users are finding existing solutions lacking as these
> software
> > products either disregard or react slowly to recent game-changing
> > technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
> > React.js and iPython’s Jupyter for instance.
> >
> > == Rationale ==
> >
> > Business intelligence is more relevant today than at any other point in
> > history. Organizations are currently very limited in options for open
> > source data visualization solutions, especially solutions that are both
> > self-service and enterprise-ready. Every company informing their
> decisions
> > with data needs a BI tool.
> >
> > We believe that Superset will be a strong compliment to existing Apache
> > Software Foundation technologies by offering scalable user interactions
> to
> > distributed storage and computation solutions. Users will often find
> that
> > Superset can act as a catalyst for tooling that can visualize the
> byproduct
> > of data and computation infrastructure.
> >
> > Superset has many key design elements that help fill a gap in current
> > solutions for organizations:
> >
> > * Easy, low friction access to data through a simple, web-based data
> > exploration interface. Composing charts and dashboards are intuitive.
> > Eliminating the need to write code or SQL empowers anyone to use it.
> >
> > * Access to a wide array of rich, interactive data visualization types.
> >
> > * Enterprise-ready: Integration with different authentication mechanisms
> > and granular permissions centered around actions and data access.
> >
> > * Realtime & fast: Superset provides realtime analytics at the speed of
> > thought on very large datasets when integrated with Druid.io.
> >
> > * Broad data access: Consume data out of any SQL-speaking relational
> > database.
> >
> > * Extensible: Can be extended to talk to many noSQL databases like Apache
> > Drill, Elastic Search, and other popular database engines.
> >
> > * Fast loading dashboards with configurable web-scale caching.
> >
> > * Plug-in framework that enables organizations to build custom analytical
> > applications with new UI/UX interfaces.
> >
> > * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users
> with
> > more flexibility. SQL Lab integrates with the visualization engine
> > seamlessly.
> >
> > == Initial Goals ==
> >
> > The initial goals of the Superset project are several-fold:
> >
> > Move the existing codebase to Apache and integrate with the Apache
> > development process.
> >
> > Redesign the user interface and interaction model for creating
> > visualizations/dashboards and connecting to data sources
> >
> > Build robust support for security and governance of the tool including
> > popular authorization modules (including Apache Ranger and Apache Sentry)
> > and a more sophisticated permissions system
> >
> > Grow the extensibility of the project both in terms of enhanced
> > connectivity to NoSQL-based data sources and creating a plug-in framework
> > that enables organizations to build custom analytical applications which
> > require a new UI/UX
> >
> > == Current Status ==
> >
> > By many standards, Superset is already a successful open source project.
> As
> > of March 2017, Superset is officially used in production at about a dozen
> > companies, has received contributions from over one hundred contributors
> on
> > Github, 1500+ forks, and 12k+ stars.
> >
> > Sizeable companies like Airbnb, Yahoo! and Hortonworks have made
> > significant contributions, and expressed their commitment to the project.
> > The product is feature complete and has been viable for months. It
> already
> > serves as the main interface for consuming data at many companies of
> > different sizes.
> >
> > While the product is usable, there’s room for improvement across the
> board,
> > starting with providing a smoother user experience around content
> creation,
> > making sure all features work out-of-the-box on more platforms and
> > databases, providing better user training guides and videos, having a
> > predictable release process, and increasing the overall quality of the
> > Superset releases.
> >
> > === Meritocracy ===
> >
> > We plan to invest in supporting a meritocracy. We will discuss the
> > requirements in an open forum. Several companies have expressed interest
> in
> > this project, and we intend to invite additional developers to
> participate.
> > We will encourage and monitor community participation so that privileges
> > can be extended to those that contribute.
> >
> > === Community ===
> >
> > The need for an enterprise-ready data visualization and exploration
> > platform in the open source community is tremendous. While Superset is
> > fairly well known, recognized and used within the Druid.io community,
> > adoption is currently limited outside of that niche. There is a huge
> > opportunity to grow the community to hundreds if not thousands of
> > organizations, and we are hoping that embracing “the Apache way” will
> > accelerate the growth of our community.
> >
> > We have already been active at seeking and inviting contributions, and
> are
> > planning to scale the project by investing time and growing the support
> > structure to grow the community.
> >
> > === Core Developers ===
> >
> > The initial committers for Superset include experienced full stack,
> > front-end and data engineers:
> >
> > * Maxime Beauchemin (Airbnb)
> >
> > * Alanna Scott (Airbnb)
> >
> > * Bogdan Kyryliuk (Airbnb)
> >
> > * Vera Liu (Airbnb)
> >
> > * Jeff Feng (Airbnb)
> >
> > * Ashutosh Chauhan (Hortonworks)
> >
> > * Nishant Bangarwa (Hortonworks)
> >
> > * Slim Bouguerra (Hortonworks)
> >
> > * Priyank Shah (Hortonworks)
> >
> > * Sriharsha Chintalapani (Hortonworks)
> >
> > * Daniel Dai (Hortonworks)
> >
> > We realize that additional employer diversity is needed, and we will work
> > aggressively to recruit developers from additional companies.
> >
> > === Alignment ===
> >
> > The initial committers strongly believe that a system for interactive
> > visualization of data will gain broader adoption as an open source,
> > community driven project, where the community can contribute not only to
> > the core components, but also to a growing collection of connectors,
> > visualizations and improving integration a all potential data sources.
> > Superset already integrates closely with Apache Hive, the Hive metastore,
> > as well as most SQL-speaking databases found in modern data ecosystems.
> >
> > == Known Risks ==
> >
> > === Orphaned Products ===
> >
> > Superset is a vital component for both visualizing, accessing and
> > democratizing data at Airbnb. Also at Hortonworks, Superset is a core
> > component of the DataFlow product offering. Thus, the risk of the
> project
> > being orphaned is relatively low. The project could be at risk if Airbnb
> > changes their approach for democratizing data or if Hortonworks changes
> > their strategy in the market. In such an event, the committers plan to
> > continue working on the project on their own time, thought the progress
> > will likely be slower. We plan to mitigate this risk by recruiting
> > additional committers.
> >
> > === Inexperience with Open Source ===
> >
> > The initial committers include veteran Apache members (committers and PMC
> > members) and other developers who have varying degrees of experience with
> > open source projects. All have been involved with source code that has
> been
> > released under an open source license, and several also have experience
> > developing code with an open source development process.
> >
> > === Homogenous Developers ===
> >
> > The initial committers are employed by Airbnb Inc., and Hortonworks. We
> are
> > committed to recruiting additional committers from other companies.
> >
> > === Reliance on Salaried Developers ===
> >
> > It is expected that Superset development will occur on both salaried time
> > and on volunteer time, after hours. The majority of initial committers
> are
> > paid by their employer to contribute to this project. However, they are
> all
> > passionate about the project, and we are confident that the project will
> > continue even if no salaried developers contribute to the project. We are
> > committed to recruiting additional committers including non-salaried
> > developers.
> >
> > === Relationships with Other Apache Products ===
> >
> > To the knowledge of the Initial Committers, there are no direct
> competitors
> > to Superset within the Apache Software Foundation. That said, Apache
> > Zeppelin is an indirect competitor, but it solves a different use case.
> >
> > Apache Zeppelin is a web-based notebook that enables interactive data
> > analytics. It enables the creation of beautiful data-driven, interactive
> > and collaborative documents with SQL, Scala and more. Although a user
> can
> > create data visualizations using this project, it leverages a notebook
> > style user interfaces and it is geared towards the Spark community where
> > Scala and SQL co-exist
> >
> > We look forward to collaborating with those communities, as well as other
> > Apache communities.
> >
> > === An Excessive Fascination with the Apache Brand ===
> >
> > Superset is solving two huge challenges:
> >
> > The challenge of enabling every knowledge worker to make data informed
> > decisions, particularly those who are not deeply skilled at writing SQL.
> >
> > The challenge of visualizing huge amounts of data interactively and in
> > real-time
> >
> > Superset was first developed as a data visualization solution for
> Druid.io
> > as a way to visualize billions of rows of data. Since then, usage of
> > Superset has expanded to address data visualization use cases across SQL
> > speaking data sources as well.
> >
> > Our rationale for developing Superset as an Apache project is detailed in
> > the Rationale Section. We believe that the Apache brand and community
> > process will help us attract more contributors to this project, and help
> > grow the footprint of the project through usage at other organizations
> and
> > within other applications. Establishing consensus among users and
> > developers will result in a more valuable tool for everyone.
> >
> > == Documentation ==
> >
> > References to further reading material:
> >
> > * [[http://airbnb.io/superset/|Superset Documentation]]
> >
> > * [[https://medium.com/airbnb-engineering/caravel-airbnb-s-dat
> > a-exploration-platform-15a72aa610e5#.npqmmbu25|Blog Post: Superset:
> > Airbnb’s Data Exploration Platform]]
> >
> > * [[https://medium.com/airbnb-engineering/superset-scaling-dat
> > a-access-and-visual-insights-at-airbnb-3ce3e9b88a7f#.a505zvb1t|Blog
> Post:
> > Superset: Scaling Data Access & Visual Insights at Airbnb]]
> >
> > == Initial Source ==
> >
> > The origin of the proposed code base can be found at
> > https://github.com/airbnb/superset. The code base is primarily in
> Python.
> >
> > == Source and Intellectual Property Submission Plan ==
> >
> > We do not expect any complications for the submission of the Superset
> code
> > base. Our code is already in Github and there is only a single code
> base.
> >
> > == External Dependencies ==
> >
> > List of Python packages, from the Python Package Index (Pypi):
> >
> > * boto3
> >
> > * celery
> >
> > * cryptography
> >
> > * flask-appbuilder
> >
> > * flask-cache
> >
> > * flask-migrate
> >
> > * flask-script
> >
> > * flask-sqlalchemy
> >
> > * flask-testing
> >
> > * humanize
> >
> > * gunicorn
> >
> > * markdown
> >
> > * pandas
> >
> > * parsedatetime
> >
> > * pydruid
> >
> > * PyHive
> >
> > * python-dateutil
> >
> > * requests
> >
> > * simplejson
> >
> > * six
> >
> > * sqlalchemy
> >
> > * sqlalchemy-utils
> >
> > * sqlparse
> >
> > * thrift
> >
> > * thrift-sasl
> >
> > * werkzeug
> >
> > List of Javascript packages, from NPM:
> >
> > * autobind-decorator
> >
> > * bootstrap
> >
> > * bootstrap-datepicker
> >
> > * brace
> >
> > * brfs
> >
> > * cal-heatmap
> >
> > * classnames
> >
> > * d3
> >
> > * d3-cloud
> >
> > * d3-sankey
> >
> > * d3-scale
> >
> > * d3-tip
> >
> > * datamaps
> >
> > * datatables-bootstrap3-plugin
> >
> > * datatables.net-bs
> >
> > * font-awesome
> >
> > * gridster
> >
> > * immutability-helper
> >
> > * immutable
> >
> > * jquery
> >
> > * lodash.throttle
> >
> > * mapbox-gl
> >
> > * moment
> >
> > * moments
> >
> > * mustache
> >
> > * nvd3
> >
> > * react
> >
> > * react-ace
> >
> > * react-bootstrap
> >
> > * react-bootstrap-table
> >
> > * react-dom
> >
> > * react-draggable
> >
> > * react-gravatar
> >
> > * react-grid-layout
> >
> > * react-map-gl
> >
> > * react-redux
> >
> > * react-resizable
> >
> > * react-select
> >
> > * react-syntax-highlighter
> >
> > * reactable
> >
> > * redux
> >
> > * redux-localstorage
> >
> > * redux-thunk
> >
> > * shortid
> >
> > * style-loader
> >
> > * supercluster
> >
> > * topojson
> >
> > * victory
> >
> > * viewport-mercator-project
> >
> > == Cryptography ==
> >
> > The proposal does not include cryptographic code.
> >
> > == Required Resources ==
> >
> > === Mailing List ===
> >
> > There is a current mailing list as a Google Group “airbnb_superset” that
> we
> > are planning on deprecating as the Apache.org become ready to serve our
> > community.
> >
> > * superset-private
> >
> > * superset-dev
> >
> > * superset-user
> >
> > === Subversion Directory ===
> >
> > Git is the preferred source control system.
> http://svn.apache.org/repos/as
> > f/incubator/superset <http://svn.apache.org/repos/asf/incubator/superset
> >
> >
> > == Git Repository ==
> >
> > Git is the preferred source control system, we’re assuming
> > https://github.com/apache/incubator-superset based on the naming scheme
> >
> > == Issue Tracking ==
> >
> > JIRA Superset (SUPERSET). If possible, we’d like to use Github issues &
> PRs
> > to manage our project as much as possible. It’s been said that there are
> > ways to keep Github’s issues in sync with Jira, allowing us to get best
> of
> > both worlds. If that is not possible, we will comply to using Jira.
> >
> > == Other Resources ==
> >
> > We currently use a set of Github integrated services that are free to the
> > open source community, like Travis-ci, Code Climate, Coveralls,
> > Landscape.io, Requires.io, david-dm and Gitter. We would like to keep
> using
> > these services as they allow us to scale contributions and optimize our
> > development flows. These services require some elevated rights on the
> > Github repository in order to set up or tune and we would like for the
> > committers to have the required rights.
> >
> >
> > == Initial Committers ==
> >
> > * Maxime Beauchemin <ma...@airbnb.com> - PMC & Committer
> >
> > * Alanna Scott <al...@airbnb.com> - PMC & Committer
> >
> > * Bogdan Kyryliuk <b....@gmail.com> - PMC & Committer
> >
> > * Vera Liu <ve...@airbnb.com> - Committer
> >
> > * Jeff Feng <je...@airbnb.com> - PMC & Committer
> >
> > * Ashutosh Chauhan <ha...@apache.org> - Mentor & Committer
> >
> > * Nishant Bangarwa <nb...@hortonworks.com> - PMC & Committer
> >
> > * Slim Bouguerra <sb...@hortonworks.com> - Committer
> >
> > * Priyank Shah <ps...@hortonworks.com> - Committer
> >
> > * Harsha Chintalapani <sc...@hortonworks.com> - Committer
> >
> > * Daniel Dai <da...@apache.org> - Champion & Committer
> >
> > == Affiliations ==
> >
> > The initial committers are employees of Airbnb Inc. and Hortonworks.
> >
> > == Sponsors ==
> >
> > === Champion ===
> >
> > Daniel Dai <da...@apache.org>
> >
> > === Nominated Mentors ===
> >
> > Ashutosh Chauhan <ha...@apache.org>
> >
> > === Sponsoring Entity ===
> >
> > Incubator PMC
> >
> >
> > --
> >
> > *Jeff Feng*
> > Product Manager
> > m: (949)-610-5108 <(949)%20610-5108> <(949)%20610-5108>
> > twitter: @jtfeng
> >
>
Re: [PROPOSAL] Superset Proposal for Apache Incubator
Posted by "John D. Ament" <jo...@apache.org>.
I missed this discussion. In your IP section, you list out:
== Source and Intellectual Property Submission Plan ==
We do not expect any complications for the submission of the Superset code
base. Our code is already in Github and there is only a single code base.
This IMHO not clear. Does Airbnb plan to submit a SGA for Superset, or
expect that no SGA is required because its Apache licensed?
John
On Sun, Apr 2, 2017 at 4:09 PM Jeff Feng <je...@airbnb.com.invalid>
wrote:
> Dear Apache Incubator Community,
>
> We are excited to share our proposal for discussion and feedback for
> entering Apache Incubation. Superset is an enterprise-ready web
> application for data exploration, data visualization and dashboarding.
>
> Our Incubation proposal is at the following Wiki as well as copied in the
> email below:
>
> https://wiki.apache.org/incubator/SupersetProposal
>
> We have an active Superset community including 400+ members and nearly 200
> topics. The Google Group can be found below. We plan to move the
> discussion to the ASF:
>
> https://groups.google.com/forum/#!forum/airbnb_superset
>
> Thank you and look forward to the discussion!
>
> Jeff, Max & Alanna
>
>
>
>
> = Superset =
>
> == Abstract ==
>
> Superset is an enterprise-ready web application for data exploration, data
> visualization and dashboarding.
>
> == Proposal ==
>
> Superset is business intelligence (BI) software that helps modern
> organizations visualize and interact with their data. Superset enables
> users explore data from a variety of databases, assemble beautiful
> dashboards and share their findings. Superset works neatly with all modern
> SQL-speaking databases, and integrates with Druid.io to provide real-time,
> interactive, blazing fast data access to large datasets.
>
> == Background ==
>
> Data is mission critical. To succeed in this era, organizations need to
> provide low-friction, intuitive and interactive access to data. It is
> paramount for knowledge workers to be capable of answering their own
> questions by querying, exploring and visualizing data.
>
> The entire business intelligence industry has pivoted from a model of
> centralized top-down platforms driven by IT organizations to self-service
> analytics and agile workflows by any user. This shift unblocks centralized
> service bottlenecks for creating data visualizations while also creating an
> environment that is iterative and fast-moving. This means that business
> intelligence software must also be easy and delightful to use.
> Self-service analytics doesn’t mean that admin and governance features are
> not needed.
>
> Modern BI tools provide fine-grain access controls and auditing
> capabilities to understand how data is being used. Superset is a solution
> that delivers on all of these vectors.
>
> The technology stack is also constantly morphing - vendors are struggling
> to provide cheap, quick and easy solutions to access data. Business
> intelligence users are finding existing solutions lacking as these software
> products either disregard or react slowly to recent game-changing
> technologies like Druid.io, PrestoDB, Apache Drill, Apache Kylin, d3.js,
> React.js and iPython’s Jupyter for instance.
>
> == Rationale ==
>
> Business intelligence is more relevant today than at any other point in
> history. Organizations are currently very limited in options for open
> source data visualization solutions, especially solutions that are both
> self-service and enterprise-ready. Every company informing their decisions
> with data needs a BI tool.
>
> We believe that Superset will be a strong compliment to existing Apache
> Software Foundation technologies by offering scalable user interactions to
> distributed storage and computation solutions. Users will often find that
> Superset can act as a catalyst for tooling that can visualize the byproduct
> of data and computation infrastructure.
>
> Superset has many key design elements that help fill a gap in current
> solutions for organizations:
>
> * Easy, low friction access to data through a simple, web-based data
> exploration interface. Composing charts and dashboards are intuitive.
> Eliminating the need to write code or SQL empowers anyone to use it.
>
> * Access to a wide array of rich, interactive data visualization types.
>
> * Enterprise-ready: Integration with different authentication mechanisms
> and granular permissions centered around actions and data access.
>
> * Realtime & fast: Superset provides realtime analytics at the speed of
> thought on very large datasets when integrated with Druid.io.
>
> * Broad data access: Consume data out of any SQL-speaking relational
> database.
>
> * Extensible: Can be extended to talk to many noSQL databases like Apache
> Drill, Elastic Search, and other popular database engines.
>
> * Fast loading dashboards with configurable web-scale caching.
>
> * Plug-in framework that enables organizations to build custom analytical
> applications with new UI/UX interfaces.
>
> * SQL Lab, a state-of-the-art SQL IDE that empowers SQL-speaking users with
> more flexibility. SQL Lab integrates with the visualization engine
> seamlessly.
>
> == Initial Goals ==
>
> The initial goals of the Superset project are several-fold:
>
> Move the existing codebase to Apache and integrate with the Apache
> development process.
>
> Redesign the user interface and interaction model for creating
> visualizations/dashboards and connecting to data sources
>
> Build robust support for security and governance of the tool including
> popular authorization modules (including Apache Ranger and Apache Sentry)
> and a more sophisticated permissions system
>
> Grow the extensibility of the project both in terms of enhanced
> connectivity to NoSQL-based data sources and creating a plug-in framework
> that enables organizations to build custom analytical applications which
> require a new UI/UX
>
> == Current Status ==
>
> By many standards, Superset is already a successful open source project. As
> of March 2017, Superset is officially used in production at about a dozen
> companies, has received contributions from over one hundred contributors on
> Github, 1500+ forks, and 12k+ stars.
>
> Sizeable companies like Airbnb, Yahoo! and Hortonworks have made
> significant contributions, and expressed their commitment to the project.
> The product is feature complete and has been viable for months. It already
> serves as the main interface for consuming data at many companies of
> different sizes.
>
> While the product is usable, there’s room for improvement across the board,
> starting with providing a smoother user experience around content creation,
> making sure all features work out-of-the-box on more platforms and
> databases, providing better user training guides and videos, having a
> predictable release process, and increasing the overall quality of the
> Superset releases.
>
> === Meritocracy ===
>
> We plan to invest in supporting a meritocracy. We will discuss the
> requirements in an open forum. Several companies have expressed interest in
> this project, and we intend to invite additional developers to participate.
> We will encourage and monitor community participation so that privileges
> can be extended to those that contribute.
>
> === Community ===
>
> The need for an enterprise-ready data visualization and exploration
> platform in the open source community is tremendous. While Superset is
> fairly well known, recognized and used within the Druid.io community,
> adoption is currently limited outside of that niche. There is a huge
> opportunity to grow the community to hundreds if not thousands of
> organizations, and we are hoping that embracing “the Apache way” will
> accelerate the growth of our community.
>
> We have already been active at seeking and inviting contributions, and are
> planning to scale the project by investing time and growing the support
> structure to grow the community.
>
> === Core Developers ===
>
> The initial committers for Superset include experienced full stack,
> front-end and data engineers:
>
> * Maxime Beauchemin (Airbnb)
>
> * Alanna Scott (Airbnb)
>
> * Bogdan Kyryliuk (Airbnb)
>
> * Vera Liu (Airbnb)
>
> * Jeff Feng (Airbnb)
>
> * Ashutosh Chauhan (Hortonworks)
>
> * Nishant Bangarwa (Hortonworks)
>
> * Slim Bouguerra (Hortonworks)
>
> * Priyank Shah (Hortonworks)
>
> * Sriharsha Chintalapani (Hortonworks)
>
> * Daniel Dai (Hortonworks)
>
> We realize that additional employer diversity is needed, and we will work
> aggressively to recruit developers from additional companies.
>
> === Alignment ===
>
> The initial committers strongly believe that a system for interactive
> visualization of data will gain broader adoption as an open source,
> community driven project, where the community can contribute not only to
> the core components, but also to a growing collection of connectors,
> visualizations and improving integration a all potential data sources.
> Superset already integrates closely with Apache Hive, the Hive metastore,
> as well as most SQL-speaking databases found in modern data ecosystems.
>
> == Known Risks ==
>
> === Orphaned Products ===
>
> Superset is a vital component for both visualizing, accessing and
> democratizing data at Airbnb. Also at Hortonworks, Superset is a core
> component of the DataFlow product offering. Thus, the risk of the project
> being orphaned is relatively low. The project could be at risk if Airbnb
> changes their approach for democratizing data or if Hortonworks changes
> their strategy in the market. In such an event, the committers plan to
> continue working on the project on their own time, thought the progress
> will likely be slower. We plan to mitigate this risk by recruiting
> additional committers.
>
> === Inexperience with Open Source ===
>
> The initial committers include veteran Apache members (committers and PMC
> members) and other developers who have varying degrees of experience with
> open source projects. All have been involved with source code that has been
> released under an open source license, and several also have experience
> developing code with an open source development process.
>
> === Homogenous Developers ===
>
> The initial committers are employed by Airbnb Inc., and Hortonworks. We are
> committed to recruiting additional committers from other companies.
>
> === Reliance on Salaried Developers ===
>
> It is expected that Superset development will occur on both salaried time
> and on volunteer time, after hours. The majority of initial committers are
> paid by their employer to contribute to this project. However, they are all
> passionate about the project, and we are confident that the project will
> continue even if no salaried developers contribute to the project. We are
> committed to recruiting additional committers including non-salaried
> developers.
>
> === Relationships with Other Apache Products ===
>
> To the knowledge of the Initial Committers, there are no direct competitors
> to Superset within the Apache Software Foundation. That said, Apache
> Zeppelin is an indirect competitor, but it solves a different use case.
>
> Apache Zeppelin is a web-based notebook that enables interactive data
> analytics. It enables the creation of beautiful data-driven, interactive
> and collaborative documents with SQL, Scala and more. Although a user can
> create data visualizations using this project, it leverages a notebook
> style user interfaces and it is geared towards the Spark community where
> Scala and SQL co-exist
>
> We look forward to collaborating with those communities, as well as other
> Apache communities.
>
> === An Excessive Fascination with the Apache Brand ===
>
> Superset is solving two huge challenges:
>
> The challenge of enabling every knowledge worker to make data informed
> decisions, particularly those who are not deeply skilled at writing SQL.
>
> The challenge of visualizing huge amounts of data interactively and in
> real-time
>
> Superset was first developed as a data visualization solution for Druid.io
> as a way to visualize billions of rows of data. Since then, usage of
> Superset has expanded to address data visualization use cases across SQL
> speaking data sources as well.
>
> Our rationale for developing Superset as an Apache project is detailed in
> the Rationale Section. We believe that the Apache brand and community
> process will help us attract more contributors to this project, and help
> grow the footprint of the project through usage at other organizations and
> within other applications. Establishing consensus among users and
> developers will result in a more valuable tool for everyone.
>
> == Documentation ==
>
> References to further reading material:
>
> * [[http://airbnb.io/superset/|Superset Documentation]]
>
> * [[https://medium.com/airbnb-engineering/caravel-airbnb-s-dat
> a-exploration-platform-15a72aa610e5#.npqmmbu25|Blog Post: Superset:
> Airbnb’s Data Exploration Platform]]
>
> * [[https://medium.com/airbnb-engineering/superset-scaling-dat
> a-access-and-visual-insights-at-airbnb-3ce3e9b88a7f#.a505zvb1t|Blog Post:
> Superset: Scaling Data Access & Visual Insights at Airbnb]]
>
> == Initial Source ==
>
> The origin of the proposed code base can be found at
> https://github.com/airbnb/superset. The code base is primarily in Python.
>
> == Source and Intellectual Property Submission Plan ==
>
> We do not expect any complications for the submission of the Superset code
> base. Our code is already in Github and there is only a single code base.
>
> == External Dependencies ==
>
> List of Python packages, from the Python Package Index (Pypi):
>
> * boto3
>
> * celery
>
> * cryptography
>
> * flask-appbuilder
>
> * flask-cache
>
> * flask-migrate
>
> * flask-script
>
> * flask-sqlalchemy
>
> * flask-testing
>
> * humanize
>
> * gunicorn
>
> * markdown
>
> * pandas
>
> * parsedatetime
>
> * pydruid
>
> * PyHive
>
> * python-dateutil
>
> * requests
>
> * simplejson
>
> * six
>
> * sqlalchemy
>
> * sqlalchemy-utils
>
> * sqlparse
>
> * thrift
>
> * thrift-sasl
>
> * werkzeug
>
> List of Javascript packages, from NPM:
>
> * autobind-decorator
>
> * bootstrap
>
> * bootstrap-datepicker
>
> * brace
>
> * brfs
>
> * cal-heatmap
>
> * classnames
>
> * d3
>
> * d3-cloud
>
> * d3-sankey
>
> * d3-scale
>
> * d3-tip
>
> * datamaps
>
> * datatables-bootstrap3-plugin
>
> * datatables.net-bs
>
> * font-awesome
>
> * gridster
>
> * immutability-helper
>
> * immutable
>
> * jquery
>
> * lodash.throttle
>
> * mapbox-gl
>
> * moment
>
> * moments
>
> * mustache
>
> * nvd3
>
> * react
>
> * react-ace
>
> * react-bootstrap
>
> * react-bootstrap-table
>
> * react-dom
>
> * react-draggable
>
> * react-gravatar
>
> * react-grid-layout
>
> * react-map-gl
>
> * react-redux
>
> * react-resizable
>
> * react-select
>
> * react-syntax-highlighter
>
> * reactable
>
> * redux
>
> * redux-localstorage
>
> * redux-thunk
>
> * shortid
>
> * style-loader
>
> * supercluster
>
> * topojson
>
> * victory
>
> * viewport-mercator-project
>
> == Cryptography ==
>
> The proposal does not include cryptographic code.
>
> == Required Resources ==
>
> === Mailing List ===
>
> There is a current mailing list as a Google Group “airbnb_superset” that we
> are planning on deprecating as the Apache.org become ready to serve our
> community.
>
> * superset-private
>
> * superset-dev
>
> * superset-user
>
> === Subversion Directory ===
>
> Git is the preferred source control system. http://svn.apache.org/repos/as
> f/incubator/superset <http://svn.apache.org/repos/asf/incubator/superset>
>
> == Git Repository ==
>
> Git is the preferred source control system, we’re assuming
> https://github.com/apache/incubator-superset based on the naming scheme
>
> == Issue Tracking ==
>
> JIRA Superset (SUPERSET). If possible, we’d like to use Github issues & PRs
> to manage our project as much as possible. It’s been said that there are
> ways to keep Github’s issues in sync with Jira, allowing us to get best of
> both worlds. If that is not possible, we will comply to using Jira.
>
> == Other Resources ==
>
> We currently use a set of Github integrated services that are free to the
> open source community, like Travis-ci, Code Climate, Coveralls,
> Landscape.io, Requires.io, david-dm and Gitter. We would like to keep using
> these services as they allow us to scale contributions and optimize our
> development flows. These services require some elevated rights on the
> Github repository in order to set up or tune and we would like for the
> committers to have the required rights.
>
>
> == Initial Committers ==
>
> * Maxime Beauchemin <ma...@airbnb.com> - PMC & Committer
>
> * Alanna Scott <al...@airbnb.com> - PMC & Committer
>
> * Bogdan Kyryliuk <b....@gmail.com> - PMC & Committer
>
> * Vera Liu <ve...@airbnb.com> - Committer
>
> * Jeff Feng <je...@airbnb.com> - PMC & Committer
>
> * Ashutosh Chauhan <ha...@apache.org> - Mentor & Committer
>
> * Nishant Bangarwa <nb...@hortonworks.com> - PMC & Committer
>
> * Slim Bouguerra <sb...@hortonworks.com> - Committer
>
> * Priyank Shah <ps...@hortonworks.com> - Committer
>
> * Harsha Chintalapani <sc...@hortonworks.com> - Committer
>
> * Daniel Dai <da...@apache.org> - Champion & Committer
>
> == Affiliations ==
>
> The initial committers are employees of Airbnb Inc. and Hortonworks.
>
> == Sponsors ==
>
> === Champion ===
>
> Daniel Dai <da...@apache.org>
>
> === Nominated Mentors ===
>
> Ashutosh Chauhan <ha...@apache.org>
>
> === Sponsoring Entity ===
>
> Incubator PMC
>
>
> --
>
> *Jeff Feng*
> Product Manager
> m: (949)-610-5108 <(949)%20610-5108> <(949)%20610-5108>
> twitter: @jtfeng
>