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Parametry
- 352 stránek
- 13 hodin čtení
Více o knize
Annotation Streaming data is a big deal in big data these days, and for good reason. Businesses crave ever more timely data, and streaming is a good way to achieve lower latency. Plus, streaming is a much easier way to tame the massive, unbounded data sets that are increasingly common today. Expanded from co-author Tyler Akidau's popular series of blog posts 'Streaming 101' and 'Streaming 102', this practical book shows data engineers, data scientists, and developers how to work with streaming or event-time data in a conceptual and platform-agnostic way.
Nákup knihy
Streaming Systems, Tyler Akidau, Slava Chernyak
- Jazyk
- Rok vydání
- 2018
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Doručení
Platební metody
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- Titul
- Streaming Systems
- Jazyk
- anglicky
- Autoři
- Tyler Akidau, Slava Chernyak
- Vydavatel
- O'Reilly
- Rok vydání
- 2018
- Vazba
- měkká
- Počet stran
- 352
- ISBN10
- 1491983876
- ISBN13
- 9781491983874
- Série
- Hodnocení
- 3,9 z 5
- Anotace
- Annotation Streaming data is a big deal in big data these days, and for good reason. Businesses crave ever more timely data, and streaming is a good way to achieve lower latency. Plus, streaming is a much easier way to tame the massive, unbounded data sets that are increasingly common today. Expanded from co-author Tyler Akidau's popular series of blog posts 'Streaming 101' and 'Streaming 102', this practical book shows data engineers, data scientists, and developers how to work with streaming or event-time data in a conceptual and platform-agnostic way.