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Parametri
- 352pagine
- 13 ore di lettura
Maggiori informazioni sul libro
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.
Acquisto del libro
Streaming Systems, Tyler Akidau, Slava Chernyak
- Lingua
- Pubblicato
- 2018
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- (In brossura)
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Metodi di pagamento
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- Titolo
- Streaming Systems
- Lingua
- Inglese
- Autori
- Tyler Akidau, Slava Chernyak
- Editore
- O'Reilly
- Pubblicato
- 2018
- Formato
- In brossura
- Pagine
- 352
- ISBN10
- 1491983876
- ISBN13
- 9781491983874
- Serie
- Valutazione
- 3,9 su 5
- Descrizione
- 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.