|aStreaming systems :|bthe what, where, when, and how of large-scale data processing /|cTyler Akidau, Slava Chernyak, Reuven Lax.
246
30
|aWhat, where, when, and how of large-scale data processing
250
|a1st ed.
260
|aSebastopol, CA :|bO'Reilly,|cc2018.
300
|axviii, 329 p. :|bill. (some col.) ;|c24 cm.
500
|aIncludes index.
520
|aStreaming 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.
505
0
|aPreface 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.
650
0
|aStreaming technology (Telecommunications)
650
0
|aElectronic data processing|xDistributed processing.
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