Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Streaming Systems: The What, Where, When, and How of Large-Scale Data Processing

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

Akidau, Tyler
Chernyak, Slava
Lax, Reuven

Paperback

General ComputersProgramming

ISBN10: 1491983876
ISBN13: 9781491983874
Publisher: Oreilly Media
Published: Aug 28 2018
Pages: 349
Weight: 1.20
Height: 0.70 Width: 7.00 Depth: 9.10
Language: English

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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