You're reading from Java Concurrency and Parallelism Master advanced Java techniques for cloud-based applications through concurrency and parallelism

Product type Paperback

Published in Aug 2024

Publisher Packt

ISBN-13 9781805129264

Length 496 pages

Edition 1st Edition

Languages

Java

Tools

Boost

Concepts

Application Development

Author (1):

Jay Wang

View More author details

Table of Contents (20) Chapters

Preface

1. Part 1: Foundations of Java Concurrency and Parallelism in Cloud Computing

2. Chapter 1: Concurrency, Parallelism, and the Cloud: Navigating the Cloud-Native Landscape FREE CHAPTER

3. Chapter 2: Introduction to Java’s Concurrency Foundations: Threads, Processes, and Beyond

4. Chapter 3: Mastering Parallelism in Java

5. Chapter 4: Java Concurrency Utilities and Testing in the Cloud Era

6. Chapter 5: Mastering Concurrency Patterns in Cloud Computing

7. Part 2: Java's Concurrency in Specialized Domains

8. Chapter 6: Java and Big Data – a Collaborative Odyssey

9. Chapter 7: Concurrency in Java for Machine Learning

10. Chapter 8: Microservices in the Cloud and Java’s Concurrency

11. Chapter 9: Serverless Computing and Java’s Concurrent Capabilities

12. Part 3: Mastering Concurrency in the Cloud – The Final Frontier

13. Chapter 10: Synchronizing Java’s Concurrency with Cloud Auto-Scaling Dynamics

14. Chapter 11: Advanced Java Concurrency Practices in Cloud Computing

15. Chapter 12: The Horizon Ahead

16. Index

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17. Other Books You May Enjoy

Appendix A: Setting up a Cloud-Native Java Environment

1. Appendix B: Resources and Further Reading

Java and Hadoop – a perfect match

Apache Hadoop revolutionized big data storage and processing. At its core lies a strong connection with Java, the widely used programming language known for its versatility and robustness. This section explores how Java and Hadoop work together, providing the necessary tools for effective Hadoop application development.

Why Java? A perfect match for Hadoop development

Several factors make Java the go-to language for Hadoop development:

Java as the foundation of Hadoop:
- Hadoop is written in Java, making it the native language for Hadoop development
- Java’s object-oriented programming paradigm aligns perfectly with Hadoop’s distributed computing model
- Java’s platform independence allows Hadoop applications to run seamlessly across different hardware and operating systems
Seamless integration with the Hadoop ecosystem:
- The Hadoop ecosystem encompasses a wide range of tools and frameworks, many of which are built...