This course provides a comprehensive and practical understanding of Java Persistence API (JPA) and Hibernate for building robust, scalable, and efficient data persistence layers in enterprise Java applications. It is ideal for Java developers working with databases, backend engineers building transactional applications, and learners preparing for enterprise development roles.
Last updated: March 01, 2026
A hands-on deep dive into object-relational mapping (ORM) using JPA and Hibernate, covering entity mapping, relationships, transactions, caching, performance tuning, and best practices for enterprise-grade applications.
Master ORM concepts, implement complex entity relationships, manage transactions, optimize performance, handle real-world data scenarios, and integrate persistence layers effectively with Spring and enterprise applications.
Java Developers, Backend Engineers, Enterprise Programmers, and Students aspiring to work on data-driven enterprise systems.
Good understanding of Core Java and basic SQL concepts is recommended. Familiarity with Spring is helpful but not mandatory.
Live virtual classes with coding demonstrations, exercises, and interactive discussions.
Instructor-led classroom training with guided practice and real-time mentoring.
Understand ORM, JPA specifications, and Hibernate as a provider.
Why ORM? Problems with JDBC
JPA vs Hibernate
Hibernate Architecture
Project Setup and Configuration
Learn how to map Java classes to database tables.
Entities and Primary Keys
Field and Column Mapping
Generated Values and Identity Strategies
Basic CRUD Operations
Implement real-world entity relationships.
One-to-One Mapping
One-to-Many and Many-to-One
Many-to-Many Mapping
Cascade and Fetch Types
Model inheritance and advanced entity structures.
Inheritance Strategies
Mapped Superclass
Embeddables
Value Objects
Work with JPA Query Language and advanced querying.
JPQL Basics
Named Queries
Criteria API
Native SQL Execution
Manage transactions and understand entity lifecycle.
Persistence Context
Entity States (Transient, Managed, Detached, Removed)
Transactions and Propagation
Flush and Refresh Operations
Optimize persistence performance using caching techniques.
Lazy vs Eager Loading
N+1 Select Problem and Solutions
First-Level and Second-Level Cache
Query Cache
Write stable and production-ready persistence layers.
Exception Handling
Data Integrity and Validation
Common Pitfalls
Design and Coding Best Practices
Use JPA and Hibernate effectively within Spring applications.
Spring Data JPA Overview
Repositories and Query Methods
Transactions in Spring
Connecting to Real Databases
Apply all concepts to build a complete persistence-enabled application.
Requirement and Design
Entity Modeling
Implementation
Testing & Deployment Basics