The What, Where, When, and How of Large-Scale Data Processing
|Price||$52.52 - $68.22
|Authors||Tyler Akidau, Slava Chernyak, Reuven Lax|
|Format||Paper book / ebook (PDF)|
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.
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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