Thanks Kerwin. Looking forward to the release of 3.0.1. -- Best Wish — Shunfeng
Chufeng Gao <[email protected]> 于2022年9月8日周四 13:57写道： > Exciting news! Thanks Kerwin. > > *Best Regards,* > > *Chufeng (Eric) Gao* > > > > On Thu, Sep 8, 2022 at 12:43 PM kerwin zhuang <[email protected]> wrote: > > > Hi all: > > > > Many thanks to everyone who is following the Apache DolphinScheduler > > community. > > > > Apache DolphinScheduler is pleased to announce that Apache > DolphinScheduler > > version 3.0.1 will be released on September 18th. > > > > > > 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: [email protected] > > - Documents: > > > > > https://dolphinscheduler.apache.org/en-us/docs/latest/user_doc/guide/start/quick-start.html > > > > > > *About DolphinScheduler:* > > > > Apache DolphinScheduler provides a distributed and easy to expand visual > > workflow task scheduling open-source platform. It is suitable for > > enterprise-level scenarios. It provides a solution to visualize operation > > tasks, workflows, and the entire data processing procedures. > > > > Apache DolphinScheduler aims to solve complex big data task dependencies > > and to trigger relationships in data OPS orchestration for various big > data > > applications. Solves the intricate dependencies of data R&D ETL and the > > inability to monitor the health status of tasks. DolphinScheduler > assembles > > tasks in the Directed Acyclic Graph (DAG) streaming mode, which can > monitor > > the execution status of tasks in time, and supports operations like > retry, > > recovery failure from specified nodes, pause, resume, and kill tasks, > etc. > > > > > > > > Best Regards! > > > > - Apache DolphinScheduler Team > > > > -- > > zhuangchong(Kerwin) > > >
