Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing

By 作者: Tyler Akidau – Slava Chernyak – Reuven Lax

ISBN-10 书号: 1491983876

ISBN-13 书号:: 9781491983874

Edition 版本: 1

Release 出版日期: 2018-08-02

pages 页数: (352 )


$69.99

Streaming data is a big deal in big data these days. As more and more businesses seek to tame the massive unbounded data sets that pervade our world, streaming systems have finally reached a level of maturity sufficient for mainstream adoption. With this practical guide, data engineers, data scientists, and developers will learn how to work with streaming data in a conceptual and platform-agnostic way.
Expanded from Tyler Akidau’s popular blog posts “Streaming 101” and “Streaming 102”, this book takes you from an introductory level to a nuanced understanding of the what, where, when, and how of processing real-time data streams. You’ll also dive deep into watermarks and exactly-once processing with co-authors Slava Chernyak and Reuven Lax.
You’ll explore:

How streaming and batch data processing patterns compare
The core principles and concepts behind robust out-of-order data processing
How watermarks track progress and completeness in infinite datasets
How exactly-once data processing techniques ensure correctness
How the concepts of streams and tables form the foundations of both batch and streaming data processing
The practical motivations behind a powerful persistent state mechanism, driven by a real-world example
How time-varying relations provide a link between stream processing and the world of SQL and relational algebra


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Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing

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