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Streaming systems : the what, where, when, and how of large-scale data processing / Tyler Akidau, Slava Chernyak, Reuven Lax.

By: Contributor(s): Material type: TextTextPublication details: Sebastopol : O'Reilly Media, Inc., 2018.Edition: First editionDescription: xviii, 329 pages : illustrations (some color) ; 24 cmISBN:
  • 9781491983874
  • 1491983876
Subject(s): DDC classification:
  • 006.7876 23
LOC classification:
  • TK5105.386 AKI 2018
Contents:
Preface Or: What Are You Getting Yourself Into Here? -- Part 1. The beam model. Streaming 101 -- The what, where, when, and how of data processing -- Watermarks -- Advanced windowing -- Exactly-once and side effects -- Part 2. Streams and tables. Streams and tables -- The practicalities of persistent state -- Streaming SQL -- Streaming joints -- The evolution of large-scale data processing.
Summary: 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.
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Holdings
Item type Current library Call number Copy number Status Barcode
Books in General collection Books in General collection Mzuzu University Library and Learning Resources Centre TK 5105.386 AKI 2018 (Browse shelf(Opens below)) 033828 Available mZUlm-033828

Includes index.

Preface Or: What Are You Getting Yourself Into Here? -- Part 1. The beam model. Streaming 101 -- The what, where, when, and how of data processing -- Watermarks -- Advanced windowing -- Exactly-once and side effects -- Part 2. Streams and tables. Streams and tables -- The practicalities of persistent state -- Streaming SQL -- Streaming joints -- The evolution of large-scale data processing.

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.

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