Stream Processing Learning Notes/

This is a series of reading note of the book Streaming Systems. All figures in the posts below, if not specified otherwise, are cited from the book’s website

Other that the book, here are some paper that seems to be worth-reading

• Watermarks in stream processing systems: semantics and comparative analysis of Apache Flink and Google cloud dataflow

  Topic: watermark

  Reason: Written by the author of the book to introduce watermark, but in year 2021, later than the book’s publishment. Hopefully would facilitate our understanding of streaming systems.

• Apache Flink

  Topic: case study

• Google Dataflow and Apache Beam model

  Topic: case study

• MillWheel

  Topic: case study

• Apache Spark Streaming

  Topic: case study