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Deep Learning Cookbook: Practical Recipes to Get Started Quickly

MRP: Rs.725.00
Price in points: 725 points
9789352137572
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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:
Reuven Lax
Author 2:
Slava Chernyak
Binding:
Paperback
Condition Type:
New
Country Origin:
India
Edition:
First
Gift Wrap:
No
Lead time to ship in days (if not in stock):
Usually ships in 10- 12 days
Leadtime to ship in days (default):
Usually ships in 1- 2 days
Pages:
256
Publication Date:
18/08/2018
Publisher:
Shroff/O'Reilly
Year:
2018

Dimensions

Dimensions (W x H x D):
7 x 9 x 0.50 inches

Table of Contents (9789352137572_toc.pdf, 173 Kb) [Download]