kerwin zhuang <ker...@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: d...@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 ker...@apache.org
