Spring Data JPA Masterclass
Ready to master Spring Data JPA? Start with Module 1 and build your way to becoming a Spring Data JPA expert through hands-on practice with a real application.
This comprehensive Spring Data JPA course is specifically designed for Java developers who want to master Spring Data JPA using Hibernate and easily implement JPA-based (Java Persistence API) repositories in production-ready applications. If you're wondering how to use Spring Data JPA effectively, this hands-on masterclass provides the complete foundation you need.
- Hands-On Learning Approach: Unlike Udemy video courses, this is a text-based, hands-on Spring Data JPA course where you build a real DMV (Department of Motor Vehicles) application from scratch with full access to source code at every step.
- Production-Ready Skills: Master the complete Spring Data JPA vs Hibernate landscape by learning when to use each tool and how they work together seamlessly.
- Real-World Application: Build a complete DMV system that evolves across 5 modules, demonstrating how to use Spring Data JPA in enterprise scenarios with complex relationships and transactions.
- Complete Coverage: From basic CRUD to advanced mappings, transactions, and performance optimization - this is one of the best courses online on the topic of Spring Data JPA.
- Perfect for: Java developers new to JPA (Java Persistence API), Spring Boot developers expanding their data layer skills, backend engineers moving from raw JDBC to ORM frameworks, and anyone seeking to learn Spring Data JPA systematically with real code examples.
This Spring Data JPA Masterclass covers everything you need to build robust, performant data access layers using Spring Data JPA using Hibernate.
Master JPA entity lifecycle states and easily implement JPA-based repositories for complete CRUD operations with comprehensive testing. You'll create a Driver entity with full CRUD operations and test suite.
| Unit | Topic | Core Concepts |
|---|---|---|
| 1.1 | Introduction to Spring Data JPA | Set up H2 database, configure Spring Data JPA, understand what JPA stands for (Java Persistence API) and its role in modern Java applications |
| 1.2 | Entity Basics and Persistence Context | Define JPA entities with annotations, master entity states (transient, managed, detached, removed), understand persistence context lifecycle |
| 1.3 | CRUD Operations and Testing | Implement complete DriverRepository with save(), findById(), delete(), count(), and exists() - write comprehensive tests with @DataJpaTest |
Learn advanced query techniques including derived methods, custom queries with @Modifying, interface/class-based projections, and efficient pagination. You'll build a complete driver search system with filters, bulk operations, projections, and paginated results.
| Unit | Topic | Core Concepts |
|---|---|---|
| 2.1 | Derived Queries Overview | Understand query derivation mechanism and method naming conventions in Spring Data JPA |
| 2.2 | Basic Derived Queries | Create queries with findBy, countBy, deleteBy - use keywords like Between, LessThan, Like for flexible searching |
| 2.3 | Query By Example (QBE) | Build dynamic queries with Example API and ExampleMatcher for flexible filtering |
| 2.4 | Custom Queries with @Modifying | Write custom UPDATE and DELETE queries, use @Modifying for DML operations, handle bulk updates efficiently |
| 2.5 | Interface-based Projections | Optimize queries by selecting specific fields with interface projections |
| 2.6 | Class-based Projections (DTOs) | Use DTO projections with JPQL constructor expressions for data transfer |
| 2.7 | Paging and Sorting | Implement pagination with Pageable and sorting with Sort for large datasets |
Master @Transactional configuration, implement optimistic/pessimistic locking for concurrent access, and control transaction propagation. You'll implement concurrent license renewal with locking and nested transactions for audit logging.
| Unit | Topic | Core Concepts |
|---|---|---|
| 3.1 | @Transactional Deep Dive | Apply @Transactional at class and method level, understand transaction lifecycle in Spring Data JPA using Hibernate |
| 3.2 | READ_ONLY vs READ_WRITE Transactions | Optimize read operations with READ_ONLY, understand performance implications and connection management |
| 3.3 | Transaction Propagation Rules | Master REQUIRED, REQUIRES_NEW, NESTED - handle nested transactions and rollback behavior |
| 3.4 | Optimistic Locking (Versioning) | Implement @Version for concurrent updates, handle OptimisticLockException in multi-user scenarios |
| 3.5 | Pessimistic Locking | Apply @Lock annotation with READ and WRITE modes, prevent conflicts during critical operations |
| 3.6 | Isolation Levels | Configure READ_COMMITTED, REPEATABLE_READ to prevent dirty reads and phantom reads |
| 3.7 | Flushing Strategies | Control when persistence context is flushed, optimize batch operations with flush() and FlushMode |
Map complex entity relationships (@OneToMany, @ManyToOne, @OneToOne, @ManyToMany), solve N+1 problems with Entity Graphs, and implement inheritance strategies. You'll build a full entity model with Drivers, Vehicles, Addresses, and Tests - all relationships mapped.
| Unit | Topic | Core Concepts |
|---|---|---|
| 4.1 | @ManyToOne Mapping | Create many-to-one relationships with foreign keys - map Vehicles to Drivers |
| 4.2 | @OneToMany Mapping | Create bidirectional one-to-many with mappedBy - navigate from Driver to their Vehicles |
| 4.3 | Entity Graphs and Fetch Strategies | Solve N+1 query problem with @EntityGraph, use LOAD vs FETCH for optimal performance |
| 4.4 | @OneToOne Mapping | Map one-to-one relationships - connect Drivers to their Addresses |
| 4.5 | @ManyToMany Mapping | Configure join tables for many-to-many - map Drivers to Tests they've taken |
| 4.6 | Inheritance Mapping Strategies | Implement SINGLE_TABLE, TABLE_PER_CLASS, and JOINED strategies for Driver hierarchy |
| 4.7 | @MappedSuperclass | Share common attributes across entities with reusable base classes |
Optimize entity lifecycle management, implement JPA auditing, master equals/hashCode for entities, and apply production-ready patterns. You'll complete a production-ready system with auditing, optimized queries, and best practices applied throughout.
| Unit | Topic | Core Concepts |
|---|---|---|
| 5.1 | Entity State Transitions Explained | Master transient → managed → detached → removed lifecycle |
| 5.2 | First Level Caching | Leverage persistence context as cache for performance |
| 5.3 | Automatic Dirty Checking | Understand how Spring Data JPA detects changes and avoids unnecessary UPDATEs |
| 5.4 | Detached Entities | Handle entities from web forms, merge changes back into persistence context |
| 5.5 | equals() and hashCode() Best Practices | Implement correctly for entities, avoid collection pitfalls |
| 5.6 | Auditing | Enable JPA auditing with @CreatedDate, @LastModifiedDate, @CreatedBy, @LastModifiedBy |
| 5.7 | Repository Inheritance Patterns | Create base repository interfaces with shared query methods |
| 5.8 | Connection Management and Performance | Optimize connection pooling and acquisition strategies |
| 5.9 | Production Best Practices | Review performance pitfalls and when to use each JPA feature |
| 5.10 | Course Wrap-Up | Recap key concepts, continued learning resources, REST API integration |
Yes, unlike Udemy video courses where you watch someone code, this Spring Data JPA Masterclass is an interactive text-based course where you build a real application with full access to source code. This approach is proven to be more effective for developers who learn by actively coding rather than passively watching. You have full access to source code at every step, making it perfect for developers who learn by doing.
Text-based learning allows you to move at your own pace, easily reference previous material, and copy code directly into your IDE. Unlike passive video watching, you actively build code alongside detailed explanations. This hands-on approach leads to better retention and deeper understanding of Spring Data JPA concepts.
You don't just learn isolated concepts - you build a complete DMV (Department of Motor Vehicles) application that evolves from basic CRUD in Module 1 to a sophisticated system with complex relationships, transactions, and performance optimizations by Module 5. This shows you exactly how to use Spring Data JPA in real-world scenarios. Every repository and operation includes comprehensive tests using @DataJpaTest, so you learn to verify your JPA-based repositories work correctly before deployment.
Basic Spring Boot knowledge is helpful (dependency injection, auto-configuration, @Component annotations), but the course focuses specifically on Spring Data JPA concepts. If you know Spring Boot basics, you're ready to learn Spring Data JPA through this course.
Great question that the course addresses thoroughly. Hibernate is a JPA implementation (JPA stands for Java Persistence API) that handles the actual ORM (Object-Relational Mapping). Spring Data JPA is a layer on top that provides convenient repository abstractions and reduces boilerplate. The course teaches you when to use Spring Data JPA's convenience and when to access Hibernate directly for advanced features.
Most developers complete the Spring Data JPA Masterclass in 8-10 weeks with consistent practice (5-7 hours per week). You can go faster if you have more time or slower based on your schedule. The course is designed to build skills progressively.
Absolutely. You'll master repository interfaces, derived queries, custom queries with @Query, Query By Example, and repository inheritance patterns. By the end, you'll easily implement JPA-based (Java Persistence API) repositories for any domain model.
Yes. The course uses Hibernate as the JPA provider throughout and teaches you how Spring Data JPA using Hibernate works under the hood. You'll understand the integration points, performance characteristics, and how to access Hibernate-specific features when needed.
You build a complete DMV (Department of Motor Vehicles) application that manages Drivers, Vehicles, Addresses, and Tests. It starts simple in Module 1 with basic Driver CRUD and evolves through all five modules into a sophisticated system demonstrating every aspect of how to use Spring Data JPA in production, including complex relationships, transactions, locking, performance optimization, and auditing.
The course is designed to be comprehensive and practical, covering everything from foundations to advanced production patterns. With 30+ hands-on units, a real application you build from scratch, full source code access, and a test-driven approach, it provides complete coverage of Spring Data JPA. Students appreciate the hands-on format and progression from basics to advanced topics.
Building an application that uses Spring Data JPA is the most effective way to learn because you see how concepts connect in a real system. Rather than isolated code snippets, you build a cohesive application where decisions about relationships, transactions, and performance affect the whole system - just like in your real projects.
Yes. Every module includes patterns and practices used in production applications. Learn not just how to write code, but how to write Spring Data JPA code that scales, performs well, and handles edge cases gracefully. From basic entity mapping to advanced topics like Entity Graphs, pessimistic locking, inheritance strategies, and connection management - this is one of the most complete best courses online on the topic of Spring Data JPA.
Absolutely. While the course uses H2 for easy setup, the Spring Data JPA concepts apply to any JPA-supported database ( PostgreSQL, MySQL, Oracle, SQL Server, etc.). You'll learn configuration patterns that work across all databases, and the DMV application can be switched to any database by changing the connection properties.
Yes. Module 3 is entirely dedicated to transactions and data integrity. You'll master @Transactional configuration, propagation rules (REQUIRED, REQUIRES_NEW, NESTED), isolation levels, optimistic locking with @Version, pessimistic locking with @Lock, and flushing strategies - everything needed for robust transaction management in Spring Data JPA using Hibernate.
Yes. Unit 4.3 specifically covers Entity Graphs and fetch strategies to solve the notorious N+1 query problem. You'll learn to use @EntityGraph, understand EntityGraphType.LOAD vs FETCH, and optimize queries to fetch related entities efficiently when building applications that use Spring Data JPA.
Last Updated: January 18th, 2026