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Streaming Systems

Autor Tyler Akidau, Slava Chernyak, Reuven Lax
en Paperback – 27 iul 2018
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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Specificații

ISBN-13: 9781491983874
ISBN-10: 1491983876
Pagini: 200
Dimensiuni: 177 x 233 x 23 mm
Greutate: 0.54 kg
Editura: O'Reilly

Descriere

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.