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    9 Topics

    Master Spring Data JPA

    Learn to build powerful data access layers with Spring Data JPA. From basic CRUD operations to advanced queries, locking, and transactions.

    Topic 1

    Spring Data JPA Introduction

    Understanding Spring Data JPA, its benefits over traditional JDBC, and how it simplifies data access layer development.

    Topic 2

    JPA Repository Interface & Entity Mapping

    Master JpaRepository, CrudRepository, fetching strategies (EAGER vs LAZY), and entity relationships mapping.

    Topic 3

    Repositories and Query Methods

    Create custom queries using method naming conventions, @Query annotation, and derived query methods.

    Topic 4

    Setting up Database with Spring Data JPA

    Configure MySQL database connection, Hibernate dialect, schema generation, and connection pooling.

    Topic 5

    JPQL and Native Queries

    Write complex queries using JPQL (Java Persistence Query Language) and native SQL queries for advanced use cases.

    Topic 6

    Optimistic and Pessimistic Locking

    Implement concurrency control with @Version for optimistic locking and @Lock for pessimistic locking strategies.

    Topic 7

    Transactions

    Master @Transactional annotation, propagation levels, isolation levels, and rollback behavior.

    Topic 8

    Senior Developer Interview Questions

    Advanced JPA concepts: N+1 problem solutions, batch processing, second-level caching, query optimization, and entity lifecycle management.

    Topic 9

    Architect Level Interview Questions

    System design with JPA: database sharding, read replicas, high availability patterns, microservices data strategies, and performance at scale.

    Ready to Master Spring Data JPA?

    Start with the introduction and work your way through each topic. By the end, you'll be building efficient, scalable data access layers.