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Mastering Spring Boot 3.0

You're reading from   Mastering Spring Boot 3.0 A comprehensive guide to building scalable and efficient backend systems with Java and Spring

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Product type Paperback
Published in Jun 2024
Publisher Packt
ISBN-13 9781803230788
Length 256 pages
Edition 1st Edition
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Author (1):
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Ahmet Meric Ahmet Meric
Author Profile Icon Ahmet Meric
Ahmet Meric
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Table of Contents (16) Chapters Close

Preface 1. Part 1: Architectural Foundations
2. Chapter 1: Introduction to Advanced Spring Boot Concepts FREE CHAPTER 3. Part 2: Architectural Patterns and Reactive Programming
4. Chapter 2: Key Architectural Patterns in Microservices – DDD, CQRS, and Event Sourcing 5. Chapter 3: Reactive REST Development and Asynchronous Systems 6. Part 3: Data Management, Testing, and Security
7. Chapter 4: Spring Data: SQL, NoSQL, Cache Abstraction, and Batch Processing 8. Chapter 5: Securing Your Spring Boot Applications 9. Chapter 6: Advanced Testing Strategies 10. Part 4: Deployment, Scalability, and Productivity
11. Chapter 7: Spring Boot 3.0 Features for Containerization and Orchestration 12. Chapter 8: Exploring Event-Driven Systems with Kafka 13. Chapter 9: Enhancing Productivity and Development Simplification 14. Index 15. Other Books You May Enjoy

Spring Boot batch processing

Now let’s take a look at one of the most important features of Spring Boot: batch processing. We’ll look at how you can manage and process huge amounts of data in an effective manner with Spring Boot. Batch processing is especially important when your application has to handle tasks such as importing big datasets or performing actions on a large number of records at once.

In this part of our guide, we’ll cover three main areas. To begin with, let’s discuss batch processing in Spring Boot, why it is so crucial at the very beginning of our discussion, and how it can be a game changer for any enterprise or any application related to hefty data operations. Next, we’ll walk through the detailed setup and execution of batch jobs – a key aspect for efficiently handling large-scale data tasks.

Last, but the most interesting, we’ll look at how batch processing can be actually implemented in our online bookstore...

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