<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Spring-Data-Jpa on Devops Monk</title><link>https://devops-monk.com/tags/spring-data-jpa/</link><description>Recent content in Spring-Data-Jpa on Devops Monk</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sun, 03 May 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://devops-monk.com/tags/spring-data-jpa/index.xml" rel="self" type="application/rss+xml"/><item><title>Introduction to Spring Data JPA</title><link>https://devops-monk.com/tutorials/spring-boot/spring-data-jpa-introduction/</link><pubDate>Sun, 03 May 2026 00:00:00 +0000</pubDate><guid>https://devops-monk.com/tutorials/spring-boot/spring-data-jpa-introduction/</guid><description>Most Spring Boot applications need to read and write data to a relational database. Spring Data JPA makes this dramatically simpler by generating the boilerplate data access code for you. This article explains what it is, how it fits together, and how to get started.
The Stack: JPA, Hibernate, and Spring Data JPA These three things work together — understanding the layering matters:
Your Code (Repository interfaces, @Entity classes) │ ▼ Spring Data JPA (generates repository implementations, adds convenience methods) │ ▼ JPA (Jakarta Persistence API) (standard specification: @Entity, @Id, EntityManager, JPQL) │ ▼ Hibernate (JPA implementation) (translates JPA operations to SQL, manages sessions) │ ▼ JDBC (Java Database Connectivity) (sends SQL to the database) │ ▼ PostgreSQL / MySQL / H2 / etc.</description></item></channel></rss>