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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
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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

Summary

As we reach the end of this chapter, let’s recap the key learnings and insights we’ve gathered. This chapter has been a very deep dive into the world of data management with Spring Boot 3.0, covering a broad spectrum of topics that are crucial for any developer touching any aspect of this powerful framework. You should now have a grasp of the data management features in Spring Boot, as they are fundamental to building robust, efficient, and scalable applications. The skills acquired after the completion of this chapter are not only elemental to backend development but also quite useful when working with the intricacies and vagaries posed by modern application development opportunities.

Here’s what we have covered:

  • Introduction to Spring Data: We began with the basics of Spring Data, understanding how this technology for data access simplifies data access in Spring applications.
  • SQL databases with Spring Data: We also touched on database integration...
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