Java Data Structures and Backend Engineering with Spring Boot

Building efficient backend applications requires a deep understanding of how data is stored, organized, and processed. Writing clean, performant Java code starts with mastering data structures and applying them to modern web architectures. This text-based course guides you from the foundational concepts of data organization to constructing robust backend services. You will learn how to select the right structures for your data, optimize your algorithms, and build enterprise-ready APIs. What you'll learn: - Understand foundational data structures including arrays, linked lists, stacks, queues, and hash maps in Java - Apply modern Java features like Records and Pattern Matching to write cleaner, more efficient data models - Build RESTful web services and APIs from scratch using the Spring Boot framework - Configure data persistence and database connectivity using Spring Data JPA - Implement modern concurrency concepts and understand how virtual threads optimize backend performance - Practice optimization techniques to improve application speed and memory usage The course begins with core terminology and foundational data structures before moving into backend architecture and database integration. You will progress through written explanations, practical code examples, and conceptual exercises designed to solidify your engineering skills. This course is designed for learners with a basic understanding of Java syntax who want to transition into backend development and master data structure implementation. No prior backend or database experience is required. Start reading today to bridge the gap between algorithmic thinking and modern backend engineering.