Streaming systems : the what, where, when, and how of large-scale data processing /
Tyler Akidau
Bok · Engelsk · 2018
| Medvirkende | |
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| Omfang | XVIII, 329 sider : : illustrasjoner
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| Opplysninger | "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 datasetsHow exactly-once data processing techniques ensure correctnessHow 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 exampleHow time-varying relations provide a link between stream processing and the world of SQL and relational algebra"--Publisher
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| Emner | Streaming technology (Telecommunications)
datastrømmingsteknologi datastrømming teknologi stordata informasjonsteknologi |
| Dewey | |
| ISBN | 9781491983874
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