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Posted to commits@phoenix.apache.org by mu...@apache.org on 2015/01/21 21:18:36 UTC
svn commit: r1653641 - in /phoenix/site: publish/css/site.css
publish/who_is_using.html source/src/site/markdown/who_is_using.md
source/src/site/resources/css/site.css
Author: mujtaba
Date: Wed Jan 21 20:18:35 2015
New Revision: 1653641
URL: http://svn.apache.org/r1653641
Log:
Add who is using page
Modified:
phoenix/site/publish/css/site.css
phoenix/site/publish/who_is_using.html
phoenix/site/source/src/site/markdown/who_is_using.md
phoenix/site/source/src/site/resources/css/site.css
Modified: phoenix/site/publish/css/site.css
URL: http://svn.apache.org/viewvc/phoenix/site/publish/css/site.css?rev=1653641&r1=1653640&r2=1653641&view=diff
==============================================================================
--- phoenix/site/publish/css/site.css (original)
+++ phoenix/site/publish/css/site.css Wed Jan 21 20:18:35 2015
@@ -73,3 +73,14 @@ margin-bottom: 10px;
display: none;
}
}
+
+blockquote {
+font-family: Georgia, serif;
+font-size: 16px;
+font-style: italic;
+margin: 0.25em 0;
+padding: 0.25em 40px;
+line-height: 1.45;
+position: relative;
+color: #287898;
+}
Modified: phoenix/site/publish/who_is_using.html
URL: http://svn.apache.org/viewvc/phoenix/site/publish/who_is_using.html?rev=1653641&r1=1653640&r2=1653641&view=diff
==============================================================================
--- phoenix/site/publish/who_is_using.html (original)
+++ phoenix/site/publish/who_is_using.html Wed Jan 21 20:18:35 2015
@@ -138,23 +138,33 @@
<table border="0" class="bodyTable table table-striped table-hover">
<tbody>
<tr class="b">
- <td> <img src="images/using/hw.png" alt="" /> <br /><br /> Hortonworks supports Apache Phoenix as a feature rich ANSI SQL interface for Apache HBase in Hortonworks Data Platform (HDP). It plays a critical role for our customers who want diverse choice for data access in Hadoop and want a simple interface to build low-latency, large scale applications. Critical features, such as secondary indexing have made Phoenix the API of choice for building these HBase applications. <br /><br /> Devaraj Das<br /> Cofounder<br /> Hortonworks<br /> </td>
+ <td> <img src="images/using/hw.png" alt="" /> <br /><br /> Hortonworks supports Apache Phoenix as a feature rich ANSI SQL interface for Apache HBase in Hortonworks Data Platform (HDP). It plays a critical role for our customers who want diverse choice for data access in Hadoop and want a simple interface to build low-latency, large scale applications. Critical features, such as secondary indexing have made Phoenix the API of choice for building these HBase applications. <br /><br /> Devaraj Das, Cofounder <br /> </td>
</tr>
<tr class="a">
- <td> <img src="images/using/sf.png" alt="" /> <br /><br /> Apache Phoenix is the foundation of our big data stack allowing us to run interactive queries against HBase data in a performant manner. In our Force.com platform, we rely on Apache Phoenix to run interactive queries against big data residing in HBase, leveraging<br /> <li> multi-tenant tables for customization and scale out across our diverse customer schemas</li> <li> aggregation to build roll-up summaries</li> <li> secondary indexes to improve performance</li> <br /> Steven Tamm<br /> CTO<br /> salesforce.com<br /> <br /> At Salesforce, Apache Phoenix is the mainstay of our Platform Big Data architecture, goto market and and product strategy.<br /><br /> We are looking to launch the first of numerous Big Data products in upcoming Spring '15 release - Field Audit Trails. Field Audit Trails delivers a new archiving service for our customer most critical data audit trails allowing our customers to easily query and tra
verse multi-billion record data sets.<br /><br /> Jonathan Bruce<br /> Director of Product Management<br /> salesforce.com<br /> </td>
+ <td> <img src="images/using/sf.png" alt="" /> <br /><br /> In our Force.com platform, we rely on Apache Phoenix to run interactive queries against big data residing in HBase leveraging <li> multi-tenant tables for customization and scale out across our diverse customer schemas</li> <li> aggregation to build roll-up summaries</li> <li> secondary indexes to improve performance</li> <br />
+ <blockquote>
+ "Apache Phoenix is the foundation of our big data stack, allowing us to run interactive queries against HBase data in a performant manner."
+ </blockquote> <br /> Steven Tamm, CTO
+ <hr /> We are looking to launch the first of numerous Big Data products in upcoming Spring '15 release - Field Audit Trails. Field Audit Trails delivers a new archiving service for our customer most critical data audit trails allowing our customers to easily query and traverse multi-billion record data sets. <br />
+ <blockquote>
+ "At Salesforce, Apache Phoenix is the mainstay of our Platform Big Data architecture, goto market and and product strategy."
+ </blockquote> <br /> Jonathan Bruce, Director of Product Management <br /> </td>
</tr>
<tr class="b">
- <td> <img src="images/using/cn.png" alt="" /> <br /><br /> At CertusNet we utilize HBase for Gigabytes level data storage and processing per five minutes. We found Phoenix most appropriate for easy-to-use sql layer and JDBC query support, even more highlighting secondary-indexes support, cause we are expecting both query performance and data manipulation load balancing for our HBase processing architecture.<br /> "For us, the most valuable feature are index support and query convenience for our HBase data processing."<br /><br /> Fulin Sun<br /> Software Enginneer<br /> CertusNet<br /> </td>
+ <td> <img src="images/using/cn.png" alt="" /> <br /><br /> At CertusNet we utilize HBase for Gigabytes level data storage and processing per five minutes. We found Phoenix most appropriate for easy-to-use sql layer and JDBC query support, even more highlighting secondary-indexes support, cause we are expecting both query performance and data manipulation load balancing for our HBase processing architecture.<br />
+ <blockquote>
+ "For us, the most valuable feature are index support and query convenience for our HBase data processing."
+ </blockquote><br /> Fulin Sun, Software Enginneer <br /></td>
</tr>
<tr class="a">
- <td> <img src="images/using/teoco.png" alt="" /> <br /><br /> TEOCO is a leading provider of assurance and analytics solutions to communications service providers worldwide.<br /> At Teoco we use Phoenix to provide fast access to customers activity records. The system is required to manage tens of billions of records per day.<br /><br /> Phoenix allows us easy and rapid development using it's SQL interface while maintaining HBase performance and throughput. It's saves the need to handle and manage lower level operations, and allows clean and maintainable code.<br /><br /> Cahana Ori<br /> Director of Research and Development<br /> TEOCO<br /> </td>
+ <td> <img src="images/using/teoco.png" alt="" /> <br /><br /> TEOCO is a leading provider of assurance and analytics solutions to communications service providers worldwide.<br /> At Teoco we use Phoenix to provide fast access to customers activity records. The system is required to manage tens of billions of records per day.<br /><br /> Phoenix allows us easy and rapid development using it's SQL interface while maintaining HBase performance and throughput. It's saves the need to handle and manage lower level operations, and allows clean and maintainable code.<br /><br /> Cahana Ori, Director of Research and Development <br /></td>
</tr>
<tr class="b">
<td> <img src="images/using/ab.png" alt="" /> <br /><br /> At Alibaba there're two main scenarios of using Phoenix:<br /><br />
<ol style="list-style-type: decimal">
<li> Large dataset with relatively small result set, say 10 thousands of records or so. We choose to use Phoenix in this kind of scenario because it's much more easier for user to use than HBase native api, meantime it supports orderby/groupby syntax</li>
<li> Large dataset with large result set, it might be millions of records in the result set even after PrimaryKey filter, and often along with lots of aggregation/orderby/groupby invocation. We choose to use Pheonix in this kind of scenario because Pheonix makes it possible to do complicated query in HBase, and it supports more and more features in traditional DB like oracle, which makes it much more easier for our user to migrate there BI query onto HBase</li>
- </ol><br /> Jaywong<br /> Software Engineer<br /> Alibaba<br /> </td>
+ </ol> Jaywong, Software Engineer <br /></td>
</tr>
</tbody>
</table>
@@ -168,22 +178,25 @@
<ol style="list-style-type: decimal">
<li> Path or Flow analysis<br /> This use case was very specific and targeted for core mobile native apps where we were trying to find user behavior with many dimension App, Version, device , OS version, carrier etc. This was offline process where we process and aggregate daily data and load once in phoenix schema.</li>
<li> Real Time analytics data trend.<br /> This is near real time aggregation of tracking data to find trend of events with multi-dimensional. It does write aggregated data to hBase + Phoenix continuously (at present 12k-15k/s records) and read for report generation at the same time.</li>
- </ol><br /> Jogendar Singh<br /> Engineering Manager, Mobile Platform<br /> ebay<br /> </td>
+ </ol> Jogendar Singh, Engineering Manager, Mobile Platform <br /></td>
</tr>
<tr class="b">
- <td> <img src="images/using/ss.png" alt="" /> <br /><br /> At Sift Science we use Phoenix to power our OLAP infrastructure. This influences our machine learning feature engineering which is critical in the model training pipeline. Having a simple SQL-based interface also allows us to expose data insights outside of the engineering organization. Finally, running Phoenix on top of our existing HBase infrastructure gives us the ability to scale our ad-hoc query needs. <br /><br /> Andrey Gusev<br /> Tech Lead, Machine Learning Infrastructure<br /> Sift Science<br /> </td>
+ <td> <img src="images/using/ss.png" alt="" /> <br /><br /> At Sift Science we use Phoenix to power our OLAP infrastructure. This influences our machine learning feature engineering which is critical in the model training pipeline. Having a simple SQL-based interface also allows us to expose data insights outside of the engineering organization. Finally, running Phoenix on top of our existing HBase infrastructure gives us the ability to scale our ad-hoc query needs. <br /><br /> Andrey Gusev, Tech Lead, Machine Learning Infrastructure </td>
</tr>
<tr class="a">
- <td> <img src="images/using/ng.png" alt="" /> <br /><br /> Apache Phoenix allows users of our customer analytics platform Lily to easily ingest and manage customer fact data. Our users don't have to learn complex or specific APIs for this, but can tap into a familiar competence: SQL. NGDATA is happy to both use and contribute to the Apache Phoenix project, which proves to be a solid choice backed by a great community on a day-to-day basis.<br /><br /> Steven Noels<br /> CTO<br /> NGDATA<br /> </td>
+ <td> <img src="images/using/ng.png" alt="" /> <br /><br /> Apache Phoenix allows users of our customer analytics platform Lily to easily ingest and manage customer fact data. Our users don't have to learn complex or specific APIs for this, but can tap into a familiar competence: SQL. NGDATA is happy to both use and contribute to the Apache Phoenix project, which proves to be a solid choice backed by a great community on a day-to-day basis.<br /><br /> Steven Noels, CTO <br /></td>
</tr>
<tr class="b">
- <td> <img src="images/using/pn.png" alt="" /> <br /><br /> Apache Phoenix has helped us load and query hundreds of billions of records. The salting and secondary indexes have saved considerable development time and the SQL interface has been an easy entry point for developers.<br /><br /> Ralph Perko<br /> Software Architect/Developer<br /> Pacific Northwest National Laboratory<br /> </td>
+ <td> <img src="images/using/pn.png" alt="" /> <br /><br /> Apache Phoenix has helped us load and query hundreds of billions of records. The salting and secondary indexes have saved considerable development time and the SQL interface has been an easy entry point for developers.<br /><br /> Ralph Perko, Software Architect/Developer <br /></td>
</tr>
<tr class="a">
- <td> <img src="images/using/sb.png" alt="" /> <br /><br /> At Socialbakers we use Phoenix for on demand data aggregations. Because of the floating time range of our custom reports we aggregate hundreds of megabytes per request on the server side. Phoenix can handle those requests with low latency and high throughput. It also provides an easy to use SQL interface and helps us build scalable and highly available applications quickly and reliably.<br /><br /> "For us, the most valuable feature is the out of the box server side aggregations."<br /><br /> Martin Homolka<br /> CTO<br /> Socialbakers<br /> </td>
+ <td> <img src="images/using/sb.png" alt="" /> <br /><br /> At Socialbakers we use Phoenix for on demand data aggregations. Because of the floating time range of our custom reports we aggregate hundreds of megabytes per request on the server side. Phoenix can handle those requests with low latency and high throughput. It also provides an easy to use SQL interface and helps us build scalable and highly available applications quickly and reliably.<br /><br />
+ <blockquote>
+ "For us, the most valuable feature is the out of the box server side aggregations."
+ </blockquote><br /> Martin Homolka, CTO <br /></td>
</tr>
<tr class="b">
- <td> <img src="images/using/dp.png" alt="" /> <br /><br /> At Delta Projects we use Phoenix for storing data as a basis for measuring activities and generating reports. We chose Phoenix because it provides the scalability of HBase and the expressiveness of SQL.<br /><br /> Kristoffer Sjögren<br /> System Developer<br /> Delta Projects<br /> </td>
+ <td> <img src="images/using/dp.png" alt="" /> <br /><br /> At Delta Projects we use Phoenix for storing data as a basis for measuring activities and generating reports. We chose Phoenix because it provides the scalability of HBase and the expressiveness of SQL.<br /><br /> Kristoffer Sjögren, System Developer <br /></td>
</tr>
</tbody>
</table>
Modified: phoenix/site/source/src/site/markdown/who_is_using.md
URL: http://svn.apache.org/viewvc/phoenix/site/source/src/site/markdown/who_is_using.md?rev=1653641&r1=1653640&r2=1653641&view=diff
==============================================================================
--- phoenix/site/source/src/site/markdown/who_is_using.md (original)
+++ phoenix/site/source/src/site/markdown/who_is_using.md Wed Jan 21 20:18:35 2015
@@ -18,39 +18,36 @@ low-latency, large scale applications. C
secondary indexing have made Phoenix the API of choice for building
these HBase applications.
<br/><br/>
-Devaraj Das<br/>
-Cofounder<br/>
-Hortonworks<br/>
+Devaraj Das, Cofounder
+<br/>
</td></tr>
<tr><td>
<img src="images/using/sf.png"/>
<br/><br/>
-Apache Phoenix is the foundation of our big data stack allowing us to
-run interactive queries against HBase data in a performant manner. In
-our Force.com platform, we rely on Apache Phoenix to run interactive
-queries against big data residing in HBase, leveraging<br/>
+In our Force.com platform, we rely on Apache Phoenix to run
+interactive queries against big data residing in HBase leveraging
<li> multi-tenant tables for customization and scale out across our
diverse customer schemas</li>
<li> aggregation to build roll-up summaries</li>
<li> secondary indexes to improve performance</li>
<br/>
-Steven Tamm<br/>
-CTO<br/>
-salesforce.com<br/>
+<blockquote>"Apache Phoenix is the foundation of our big data stack, allowing us
+to run interactive queries against HBase data in a performant manner."</blockquote>
<br/>
-At Salesforce, Apache Phoenix is the mainstay of our Platform Big Data
-architecture, goto market and and product strategy.<br/><br/>
-
+Steven Tamm, CTO
+<hr/>
We are looking to launch the first of numerous Big Data products in
-upcoming Spring '15 release - Field Audit Trails. Field Audit Trails
+upcoming Spring '15 release - Field Audit Trails. Field Audit Trails
delivers a new archiving service for our customer most critical data
audit trails allowing our customers to easily query and traverse
-multi-billion record data sets.<br/><br/>
-
-Jonathan Bruce<br/>
-Director of Product Management<br/>
-salesforce.com<br/>
+multi-billion record data sets.
+<br/>
+<blockquote>"At Salesforce, Apache Phoenix is the mainstay of our Platform Big
+Data architecture, goto market and and product strategy."</blockquote>
+<br/>
+Jonathan Bruce, Director of Product Management
+<br/>
</td></tr>
<tr><td>
@@ -65,14 +62,11 @@ highlighting secondary-indexes support,
query performance and data
manipulation load balancing for our HBase processing architecture.<br/>
-"For us, the most valuable feature are index support and query
-convenience for our HBase data processing."<br/><br/>
+<blockquote>"For us, the most valuable feature are index support and query
+convenience for our HBase data processing."</blockquote><br/>
-Fulin Sun<br/>
-Software Enginneer<br/>
-CertusNet<br/>
-
-</td></tr>
+Fulin Sun, Software Enginneer
+<br/></td></tr>
<tr><td>
<img src="images/using/teoco.png"/>
@@ -89,10 +83,8 @@ while maintaining HBase performance and
It's saves the need to handle and manage lower level operations, and
allows clean and maintainable code.<br/><br/>
-Cahana Ori<br/>
-Director of Research and Development<br/>
-TEOCO<br/>
-</td></tr>
+Cahana Ori, Director of Research and Development
+<br/></td></tr>
<tr><td>
<img src="images/using/ab.png"/>
@@ -113,12 +105,10 @@ to use Pheonix in this kind of scenario
possible to do complicated query in HBase, and it supports more and
more features in traditional DB like oracle, which makes it much more
easier for our user to migrate there BI query onto HBase</li>
-</ol><br/>
+</ol>
-Jaywong<br/>
-Software Engineer<br/>
-Alibaba<br/>
-</td></tr>
+Jaywong, Software Engineer
+<br/></td></tr>
</table>
@@ -146,12 +136,10 @@ phoenix schema.</li>
This is near real time aggregation of tracking data to find trend of
events with multi-dimensional. It does write aggregated data to hBase
+ Phoenix continuously (at present 12k-15k/s records) and read for
-report generation at the same time.</li></ol><br/>
+report generation at the same time.</li></ol>
-Jogendar Singh<br/>
-Engineering Manager, Mobile Platform<br/>
-ebay<br/>
-</td></tr>
+Jogendar Singh, Engineering Manager, Mobile Platform
+<br/></td></tr>
<tr><td>
<img src="images/using/ss.png"/>
@@ -163,9 +151,7 @@ also allows us to expose data insights o
organization. Finally, running Phoenix on top of our existing HBase
infrastructure gives us the ability to scale our ad-hoc query needs.
<br/><br/>
-Andrey Gusev<br/>
-Tech Lead, Machine Learning Infrastructure<br/>
-Sift Science<br/>
+Andrey Gusev, Tech Lead, Machine Learning Infrastructure
</td></tr>
<tr><td>
@@ -179,10 +165,8 @@ competence: SQL. NGDATA is happy to both
Apache Phoenix project, which proves to be a solid choice backed by a
great community on a day-to-day basis.<br/><br/>
-Steven Noels<br/>
-CTO<br/>
-NGDATA<br/>
-</td></tr>
+Steven Noels, CTO
+<br/></td></tr>
<tr><td>
<img src="images/using/pn.png"/>
@@ -193,11 +177,8 @@ records. The salting and secondary inde
development time and the SQL interface has been an easy entry point
for developers.<br/><br/>
-Ralph Perko<br/>
-Software Architect/Developer<br/>
-Pacific Northwest National Laboratory<br/>
-
-</td></tr>
+Ralph Perko, Software Architect/Developer
+<br/></td></tr>
<tr><td>
<img src="images/using/sb.png"/>
@@ -210,13 +191,11 @@ handle those requests with low latency a
provides an easy to use SQL interface and helps us build scalable and
highly available applications quickly and reliably.<br/><br/>
-"For us, the most valuable feature is the out of the box server side
-aggregations."<br/><br/>
+<blockquote>"For us, the most valuable feature is the out of the box server side
+aggregations."</blockquote><br/>
-Martin Homolka<br/>
-CTO<br/>
-Socialbakers<br/>
-</td></tr>
+Martin Homolka, CTO
+<br/></td></tr>
<tr><td>
<img src="images/using/dp.png"/>
@@ -226,10 +205,8 @@ At Delta Projects we use Phoenix for sto
measuring activities and generating reports. We chose Phoenix because
it provides the scalability of HBase and the expressiveness of SQL.<br/><br/>
-Kristoffer Sjögren<br/>
-System Developer<br/>
-Delta Projects<br/>
-</td></tr>
+Kristoffer Sjögren, System Developer
+<br/></td></tr>
</table>
<!--End Second Column-->
Modified: phoenix/site/source/src/site/resources/css/site.css
URL: http://svn.apache.org/viewvc/phoenix/site/source/src/site/resources/css/site.css?rev=1653641&r1=1653640&r2=1653641&view=diff
==============================================================================
--- phoenix/site/source/src/site/resources/css/site.css (original)
+++ phoenix/site/source/src/site/resources/css/site.css Wed Jan 21 20:18:35 2015
@@ -73,3 +73,14 @@ margin-bottom: 10px;
display: none;
}
}
+
+blockquote {
+font-family: Georgia, serif;
+font-size: 16px;
+font-style: italic;
+margin: 0.25em 0;
+padding: 0.25em 40px;
+line-height: 1.45;
+position: relative;
+color: #287898;
+}