Search Application Development with Elasticsearch, Java, and Spring Boot

Modern applications require fast, relevant, and scalable search capabilities that traditional databases cannot easily provide. Integrating a dedicated search engine with your backend services is the key to delivering instant search results to your users. This course guides you through the process of connecting Elasticsearch to your Java and Spring Boot applications. You will learn how to index data, execute complex queries, and build robust search features using modern, production-ready development practices. What you'll learn: - Understand the core architecture of Elasticsearch, including indexes, documents, shards, and nodes. - Configure a local Elasticsearch environment using modern containerized workflows for rapid development. - Connect Spring Boot applications to Elasticsearch using the latest official Java client libraries. - Implement full-text search, filtering, aggregations, and pagination inside your Java code. - Apply best practices for data mapping, analyzer configuration, and search relevance tuning. - Secure your Elasticsearch cluster with basic authentication and connection encryption. The course begins with foundational search concepts and Elasticsearch terminology before moving into step-by-step integration. You will read detailed explanations, analyze clean Java code snippets, and complete written exercises designed to reinforce your learning. This course is designed for Java developers and Spring Boot engineers who want to add powerful search capabilities to their applications. No prior experience with Elasticsearch is required, though a basic understanding of Java and Spring Boot is recommended. Start building fast, scalable search engines for your Java applications today.