Streaming Systems: The What, Where, When, And How Of Large-Scale Data Processing

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.

• | Author: Tyler Akidau|Slava Chernyak|Reuven Lax
• | Publisher: O'Reilly Media
• | Publication Date: Aug 14, 2018
• | Number of Pages: 352 pages
• | Language: English
• | Binding: Paperback/Computers
• | ISBN-10: 1491983876
• | ISBN-13: 9781491983874