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Posted to announce@apache.org by kerwin zhuang <ke...@apache.org> on 2022/04/18 11:08:12 UTC
[ANNOUNCE] Apache DolphinScheduler 3.0.0-alpha available
kerwin zhuang <ke...@apache.org>
1月25日周二 12:20
发送至 dev
Hi all:
The Apache DolphinScheduler is pleased to announce the release of the
Apache DolphinScheduler 3.0.0-alpha.
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.
Download Links:
https://dolphinscheduler.apache.org/en-us/download/download.html
Release Notes:
https://github.com/apache/dolphinscheduler/releases/tag/3.0.0-alpha
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/guide/start/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
kerwin@apache.org
Re: [ANNOUNCE] Apache DolphinScheduler 3.0.0-alpha available
Posted by Jiajie Zhong <zh...@gmail.com>.
Great! thank kerwin +1
On Mon, Apr 18, 2022 at 7:08 PM kerwin zhuang <ke...@apache.org> wrote:
>
> kerwin zhuang <ke...@apache.org>
> 1月25日周二 12:20
> 发送至 dev
> Hi all:
>
> The Apache DolphinScheduler is pleased to announce the release of the
> Apache DolphinScheduler 3.0.0-alpha.
>
> 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.
>
> Download Links:
> https://dolphinscheduler.apache.org/en-us/download/download.html
>
> Release Notes:
> https://github.com/apache/dolphinscheduler/releases/tag/3.0.0-alpha
>
>
> 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/guide/start/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
> kerwin@apache.org
--
Best Wish
— Jiajie