This guide introduces the data-oriented paradigm, showing how the approach represents data with generic immutable data structures to simplify state management, ease concurrency, and do away with the common problems you’ll find in object-oriented code. Yehonathan Sharvit book presents the concepts through conversations, code snippets, and diagrams that help you quickly grok what’s great about DOP.

<ASIN:1617298573>

Author: Yehonathan Sharvit
Publisher: Manning
Date: August 2022
Pages: 424
ISBN: 978-1617298578
Print: 1617298573
Kindle: B0B7KBX4TK
Audience: Data developers
Level: Intermediate
Category: Data Science

• Separate code from data
• Represent data with generic data structures
• Manipulate data with general-purpose functions
• Manage state without mutating data
• Control concurrency in highly scalable systems
• Write data-oriented unit tests
• Specify the shape of your data
• Benefit from polymorphism without objects
• Debug programs without a debugger

For recommendations of Big Data books see Reading Your Way Into Big Data in our Programmer's Bookshelf section.

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