[Flink] 官方2019上手教程Apache Flink Training

最近发现Flink官方推出了training教程, cover了基础知识和API, 而且同时附带4个对应的lab (Java和Scala版本). 基本上2天可以学完. 很推荐还不了解stream processing或Flink的同学看看. 特别是在找后端/分布式系统的小朋友入门学习.
可以写在简历上作为一个加分项.

请觉得有用的同学支持一下, 给点大米? 刚发现回短消息和看包裹扣了超多分... 都不够分看贴了. 谢谢.
大家可以在这个帖子下讨论. 做分布式系统的同学也可以互相交流最新的技术.

https://training.ververica.com/

• how to set up an environment to develop Flink programs
• how to implement streaming data processing pipelines
• how and why Flink manages state
• how to use event time to consistently compute accurate analytics
• how to build event-driven applications on continuous streams
• how Flink is able to provide fault-tolerant, stateful stream processing with exactly-once semantics
  

• Flink Training Home
  

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• Intro to Streaming
• Setup for Labs
• Lab 1 - Filtering a Stream
  

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• Transforming Data
• Lab 2 - Stateful Enrichment
  

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• Time and Analytics
• Lab 3 - Windowing

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• Event-driven Apps
• Lab 4 - Expiring State
  

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• Fault Tolerance
• App Development
  

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• More Labs

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• Resource Links
  

补充内容 (2019-2-27 13:34):
求加学分.

补充内容 (2019-2-27 13:35):
我的repo: https://github.com/fxrcode/flink-training-exerices

上周完成了Lab 1和Lab 2. 分别是Filtering stream, 和Stateful enrichment. 学会FilterFunction, RichCoFlatMapFunction, 后者在Serving Machine Learning models一书中, 用于Partition-Based Joins. 即Model serving. 还是很重要的.