High-Performance Spring Database Persistence

Slow database queries and inefficient persistence layers are the most common bottlenecks in modern enterprise applications. This text-based guide helps you understand how Spring interacts with databases and how to write highly optimized persistence code. You will transition from writing basic database queries to designing highly efficient, scalable data-access layers using Spring Data JPA and Hibernate. Learn how to diagnose and resolve performance issues before they impact your users. What you'll learn: - Understand the core architecture of Spring persistence, Hibernate caching, and entity state management. - Identify and resolve common performance bottlenecks like the N+1 query problem using fetch joins and entity graphs. - Configure connection pooling and transaction boundaries to maximize application throughput. - Apply modern projection techniques to retrieve only the data your application actually needs. - Implement batch processing and bulk operations to handle large datasets efficiently. - Practice database-level optimizations including indexing strategies and query profiling. The course begins with foundational database concepts and Spring persistence architecture before moving into advanced query tuning and optimization techniques. You will learn through clear, written explanations and practical code snippets designed for real-world application. This course is designed for Java developers who have a basic understanding of Spring and want to master database performance. No prior performance tuning experience is required. Start writing highly optimized Spring persistence code today.