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Posted to announce@apache.org by leon bao <le...@apache.org> on 2022/01/07 16:08:14 UTC
[ANNOUNCE] Apache DolphinScheduler 2.0.2 available
Hi all:
The Apache DolphinScheduler is pleased to announce the release of the
Apache DolphinScheduler 2.0.2.
Apache DolphinScheduler is a cloud-native visual Big Data workflow
scheduler system dedicated to solving the complex task dependencies in
data processing, making the scheduler system out of the box for data
processing.
In this version release, DolphinScheduler add the feature using
python api to create workflow. Some related optimizations have been made for
some user experience issues.
Download Links:
https://dolphinscheduler.apache.org/en-us/download/download.html
Release Notes:
https://github.com/apache/dolphinscheduler/releases/tag/2.0.2
If you have any questions, please refer to DolphinScheduler Resources:
- Official website: https://dolphinscheduler.apache.org/
- GitHub:https://github.com/apache/dolphinscheduler
- Issue: https://github.com/apache/dolphinscheduler/issues/
- Mailing list: dev@dolphinscheduler.apache.org
- Documents:https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/quick-start.html
*About DolphinScheduler:*
Apache DolphinScheduler is a cloud-native visual Big Data workflow
scheduler system.
As a distributed and extensible data workflow scheduler platform with rich
directed acyclic graph (DAG) visual interfaces, DolphinScheduler solves
complex task dependencies and triggers in the data pipeline. Out-of-the-box,
its easy-to-extend processing connects numerous systems to 600,000-level
data task scheduling.
Apache DolphinScheduler is:
- Cloud Native — support multi-cloud/data center workflow management, also
supports Kubernetes, Docker deployment and custom task types, distributed
scheduling, with overall scheduling capability, increased linearly with the
scale of the cluster
- Support multi-tenant
- Highly Reliable — decentralized multi-master and multi-worker, high
availability, supported by itself, overload processing
- User-Friendly — all process definition operations are visualized, defines
key information at a glance, one-click deployment
- Supports Rich Scenarios — includes streaming, pause, recover operation,
and additional task types such as Spark, Hive, MR, Shell,
Python, Flink, Sub_process, and more.
Best Regards!
- Apache DolphinScheduler Team
--
DolphinScheduler PMC
BaoLiang 鲍亮
leonbao@apache.org
Re: [ANNOUNCE] Apache DolphinScheduler 2.0.2 available
Posted by Lidong Dai <li...@apache.org>.
Congrats, Thanks to every Contributor
Best Regards
---------------
Apache DolphinScheduler PMC Chair
LidongDai
lidongdai@apache.org
Linkedin: https://www.linkedin.com/in/dailidong
Twitter: @WorkflowEasy <https://twitter.com/WorkflowEasy>
---------------
On Sat, Jan 8, 2022 at 12:08 AM leon bao <le...@apache.org> wrote:
> Hi all:
>
> The Apache DolphinScheduler is pleased to announce the release of the
> Apache DolphinScheduler 2.0.2.
>
> Apache DolphinScheduler is a cloud-native visual Big Data workflow
> scheduler system dedicated to solving the complex task dependencies in
> data processing, making the scheduler system out of the box for data
> processing.
>
> In this version release, DolphinScheduler add the feature using
> python api to create workflow. Some related optimizations have been made
> for
> some user experience issues.
>
> Download Links:
> https://dolphinscheduler.apache.org/en-us/download/download.html
>
> Release Notes:
> https://github.com/apache/dolphinscheduler/releases/tag/2.0.2
>
>
> If you have any questions, please refer to DolphinScheduler Resources:
>
> - Official website: https://dolphinscheduler.apache.org/
> - GitHub:https://github.com/apache/dolphinscheduler
> - Issue: https://github.com/apache/dolphinscheduler/issues/
> - Mailing list: dev@dolphinscheduler.apache.org
> - Documents:
> https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/quick-start.html
>
>
> *About DolphinScheduler:*
>
> Apache DolphinScheduler is a cloud-native visual Big Data workflow
> scheduler system.
>
> As a distributed and extensible data workflow scheduler platform with rich
> directed acyclic graph (DAG) visual interfaces, DolphinScheduler solves
> complex task dependencies and triggers in the data pipeline.
> Out-of-the-box,
> its easy-to-extend processing connects numerous systems to 600,000-level
> data task scheduling.
>
> Apache DolphinScheduler is:
>
> - Cloud Native — support multi-cloud/data center workflow management, also
> supports Kubernetes, Docker deployment and custom task types, distributed
> scheduling, with overall scheduling capability, increased linearly with the
> scale of the cluster
> - Support multi-tenant
> - Highly Reliable — decentralized multi-master and multi-worker, high
> availability, supported by itself, overload processing
> - User-Friendly — all process definition operations are visualized, defines
> key information at a glance, one-click deployment
> - Supports Rich Scenarios — includes streaming, pause, recover operation,
> and additional task types such as Spark, Hive, MR, Shell,
> Python, Flink, Sub_process, and more.
>
> Best Regards!
>
>
> - Apache DolphinScheduler Team
>
> --
> DolphinScheduler PMC
> BaoLiang 鲍亮
> leonbao@apache.org
>