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

Product type Paperback

Published in Jun 2024

Publisher Packt

ISBN-13 9781803230788

Length 256 pages

Edition 1st Edition

Languages

Java

Tools

Spring

Concepts

Server Side Web Development

Author (1):

Ahmet Meric

View More author details

Table of Contents (16) Chapters

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

Why subscribe?

15. Other Books You May Enjoy

Spring Data: SQL, NoSQL, Cache Abstraction, and Batch Processing

Welcome to Chapter 4. Here, we are going to take a closer look at the Spring Data approach. In this chapter, we want to learn how the Spring Data approach can work for us. Spring Data is one of the key parts of the Spring Boot ecosystem. This will help you to clearly understand how to work with different kinds of databases in Spring Boot 3.0.

Why does this chapter matter? In software development, how we manage data is very important, and is more than just storing the data. This part of the book is not only about studying various parts of Spring Data, but it’s also about putting them to work in real-life situations. In this chapter, we will see how to configure and use Spring Data, which helps a lot in data management activities. You will learn how to work with structured data, stored in SQL databases, and unstructured data that is stored in NoSQL databases, ideal for various types of data. Furthermore, we will...