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Streaming Systems

MRP: Rs.975.00
Price in points: 975 points
9789352137541
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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.

You’ll explore:

  • How streaming and batch data processing patterns compare
  • The core principles and concepts behind robust out-of-order data processing
  • How watermarks track progress and completeness in infinite datasets
  • How exactly-once data processing techniques ensure correctness
  • How the concepts of streams and tables form the foundations of both batch and streaming data processing
  • The practical motivations behind a powerful persistent state mechanism, driven by a real-world example

How time-varying relations provide a link between stream processing and the world of SQL and relational algebra

Books

Author:
Tyler Akidau
Author 2:
Slava Chernyak
Author 3:
Reuven Lax
Binding:
Paperback
Condition Type:
New
Edition:
First
Gift Wrap:
N
Leadtime to ship in days (default):
Usually ships in 1- 2 days
Pages:
352
Publisher:
Shroff / O'Reilly
Year:
2018

Dimensions

Dimensions (W x H x D):
7 x 9 x .6 inch

Table of Contents (9789352317541_toc.pdf, 395 Kb) [Download]