Book Image

Mastering Spring 5.0

By : In28Minutes Official
Book Image

Mastering Spring 5.0

By: In28Minutes Official

Overview of this book

Spring 5.0 is due to arrive with a myriad of new and exciting features that will change the way we’ve used the framework so far. This book will show you this evolution—from solving the problems of testable applications to building distributed applications on the cloud. The book begins with an insight into the new features in Spring 5.0 and shows you how to build an application using Spring MVC. You will realize how application architectures have evolved from monoliths to those built around microservices. You will then get a thorough understanding of how to build and extend microservices using Spring Boot. You will also understand how to build and deploy Cloud-Native microservices with Spring Cloud. The advanced features of Spring Boot will be illustrated through powerful examples. We will be introduced to a JVM language that’s quickly gaining popularity - Kotlin. Also, we will discuss how to set up a Kotlin project in Eclipse. By the end of the book, you will be equipped with the knowledge and best practices required to develop microservices with the Spring Framework.
Table of Contents (20 chapters)
Title Page
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Chapter 8. Spring Data

In Chapter 7, Advanced Spring Boot Features, we discussed advanced Spring Boot features, such as externalized configuration, monitoring, embedded servers, and deploying to the Cloud. In this chapter, let's turn our attention to data. Where we store our data and how we store data has been in rapid evolution during the last decade. After a few decades of stability with relational databases, in the last decade, a number of unstructured, nonrelational databases are taking firm ground. With a variety of data stores in play, the frameworks that talk to these data stores are becoming more important. While JPA made it easy to talk to relational databases, Spring Data aims to bring in a common approach to talk to a wider variety of data stores--relational or otherwise.

The following are some of the questions we will answer during this chapter:

  • What is Spring Data?
  • What are the aims of Spring Data?
  • How do you talk to a relational database using Spring Data and Spring Data JPA?
  • How...