This course now features Coursera Coach — your interactive learning companion that helps you test your knowledge, challenge assumptions, and deepen your understanding as you progress.

Unlock the power of Elasticsearch, one of the most widely used engines for search and analytics in modern, data-driven systems. Designed for data engineers, developers, and IT professionals, this hands-on course will take you from foundational concepts to building scalable, real-world search solutions with confidence. You’ll begin by setting up your Elasticsearch environment and learning how to interact with clusters using RESTful APIs. Through step-by-step guidance, you’ll build a solid grounding in how Elasticsearch stores, structures, and retrieves data at scale. As you progress, you’ll dive into mapping and indexing, working with real datasets such as MovieLens to practice connecting to clusters, importing data, and tailoring analyzers and tokenizers to your needs. You’ll also learn how to manage bulk operations and handle concurrency—skills essential for production-grade search systems. In the final modules, you’ll master Elasticsearch’s powerful search capabilities. You’ll explore fuzzy matching, partial searches, pagination, sorting, and filters, empowering you to design fast, precise, and flexible query experiences. By the end of this course, you will have: - Understood how Elasticsearch stores, indexes, and retrieves data. - Worked with real-world datasets to create and manage indexes. - Designed analyzers, tokenizers, and mappings for optimized search behavior. - Performed efficient bulk operations and addressed concurrency challenges. - Built flexible, performant searches using fuzzy queries, filters, sorting, and pagination. - Gained the confidence to implement and scale Elasticsearch solutions in real environments. A basic understanding of databases and data structures is helpful but not required — this course begins with fundamentals and guides you all the way to advanced techniques.