[ANNOUNCE] Apache DolphinScheduler 3.0.0-alpha will be released on April 12th

[kerwin zhuang <ke...@apache.org>]

Hi all:

Many thanks to everyone who is following the Apache DolphinScheduler
community.

Apache DolphinScheduler is pleased to announce that Apache DolphinScheduler
version 3.0.0-alpha will be released on April 12th.



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

-- 
Apache DolphinScheduler Committer
ZhuangChong 庄崇
kerwin@apache.org

Re: [ANNOUNCE] Apache DolphinScheduler 3.0.0-alpha will be released on April 12th

[leon bao <le...@apache.org>]

Good news!
Looking forward to the release of 3.0.

kerwin zhuang <ke...@apache.org> 于2022年4月7日周四 09:28写道：
>
> Hi all:
>
> Many thanks to everyone who is following the Apache DolphinScheduler
> community.
>
> Apache DolphinScheduler is pleased to announce that Apache DolphinScheduler
> version 3.0.0-alpha will be released on April 12th.
>
>
>
> 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
>
> --
> Apache DolphinScheduler Committer
> ZhuangChong 庄崇
> kerwin@apache.org



-- 
DolphinScheduler  PMC
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