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

By Tyler Akidau , Slava Chernyak , Reuven Lax
MRP: Rs.975.00 You save: Rs.146.25 (15%)
Net Price: Rs.828.75
Price in points: 829 points
Reward points: 8 points
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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
Tyler Akidau , Slava Chernyak , Reuven Lax
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Shroff Publishers and Distributors Pvt. Ltd.

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