Streaming systems the what, where, when, and how 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 scienti...
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| Hauptverfasser: | , , |
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Sebastopol, CA
O'Reilly Media, Inc.
[2018]
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| Online-Zugang: | lizenzpflichtig |
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| Zusammenfassung: | 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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| Beschreibung: | Includes index. - Includes bibliographical references and index. - Online resource; title from PDF title page (EBSCO, viewed July 23, 2018) |
| Beschreibung: | 1 online resource |
| ISBN: | 9781491983843 1491983841 9781491983829 1491983825 |