Streaming systems : the what, where, when, and how of large-scale data processing / Tyler Akidau, Slava Chernyak, Reuven Lax.
Material type: TextPublisher: Sebastopol, CA : O'Reilly, [2018]Copyright date: �2018Edition: First editionDescription: xviii, 329 pages : illustrations (some color) ; 26 cmContent type:- text
- unmediated
- volume
- 9789352137541
- 006.7876 22 AKS
Item type | Current library | Call number | Copy number | Status | Date due | Barcode |
---|---|---|---|---|---|---|
Books | Central Library, SUST General Stacks | 006.7876 AKS (Browse shelf(Opens below)) | 1 | Available | 0076883 |
Includes index.
Preface 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.
Streaming 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.
There are no comments on this title.