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- 352pages
- 13 heures de lecture
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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.
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Streaming Systems, Tyler Akidau, Slava Chernyak
- Langue
- Année de publication
- 2018
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- Titre
- Streaming Systems
- Langue
- Anglais
- Auteurs
- Tyler Akidau, Slava Chernyak
- Éditeur
- O'Reilly
- Publié
- 2018
- Format
- souple
- Pages
- 352
- ISBN10
- 1491983876
- ISBN13
- 9781491983874
- Séries
- Évaluation
- 3,9 sur 5
- Description
- 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.