Congrats, Thanks to every Contributor
Best Regards --------------- Apache DolphinScheduler PMC Chair LidongDai [email protected] Linkedin: https://www.linkedin.com/in/dailidong Twitter: @WorkflowEasy <https://twitter.com/WorkflowEasy> --------------- On Sat, Jan 8, 2022 at 12:08 AM leon bao <[email protected]> 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: [email protected] > - 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 > [email protected] >
