Streaming Systems
By:Tyler Akidau,Slava Chernyak,Reuven Lax
Published on 2018-07-16 by |O'Reilly Media, Inc.|
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
This Book was ranked at 9 by Google Books for keyword Data Processing.
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Book which was published by |O'Reilly Media, Inc.| since 2018-07-16 have ISBNs, ISBN 13 Code is 9781491983829 and ISBN 10 Code is 1491983825
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