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Data-Oriented Programming in Java
List Price:
$59.99
| Expected release date is Oct 27th 2026 |
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Product Details
Author:
Chris Kiehl
Format:
Paperback
Pages:
510
Publisher:
Manning (October 27, 2026)
Imprint:
Manning
Release Date:
October 27, 2026
Language:
English
ISBN-13:
9781633436930
ISBN-10:
1633436934
Weight:
15.84oz
Dimensions:
7.375" x 9.25"
File:
Eloquence-SimonSchuster_08262026_P10531923_onix30-20260826.xml
Folder:
Eloquence
List Price:
$59.99
Pub Discount:
37
As low as:
$56.99
Publisher Identifier:
P-SS
Discount Code:
H
Overview
Data is the heart of your code. Data-oriented programming is a programming technique that enables you to precisely model domains and write large enterprise-scale applications that are oriented around the data they manage. Take a data-oriented approach to your Java applications, and you’ll enjoy simpler state management, improved readability, and no more state-related bugs!
This book teaches you how to use immutable strongly typed data effectively and take full advantage of the modern data-oriented features built into the Java language. Simplify your Java code with data-oriented programming!
In Data-Oriented Programming in Java and you’ll learn how to:
- Model your domain accurately using records, sealed classes, and pattern matching
- Use objects to manage side-effects
- Harness the power of plain data
- Make illegal states impossible to represent
- Let the data types guide your implementation
- Never write another Null check or experience another NPE!
About the book
In Data-Oriented Programming in Java you’ll learn what you might have thought was impossible: how to use Java’s type system to make code self-documenting, implicit behaviors explicit, and incorrect states impossible to even compile. This practical book teaches you how to use records, sealed classes, and pattern matching to represent the data in your domain, explore data’s inherent meaning and semantics, and represent them in their code. Each new concept is fully illustrated with a hands-on example that demonstrates how DOP helps you write scalable, testable, and maintainable code.
About the reader
For intermediate Java programmers.
About the author
Chris Kiehl is a senior software engineer at Amazon.









