Overview

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.

Syllabus

Installing and Understanding Elasticsearch

In this module, we will lay the foundation for your journey with Elasticsearch by focusing on installation and key concepts. You’ll learn how to install Elasticsearch, grasp the basics of its architecture, and explore the powerful RESTful APIs that enable interaction with the system. We’ll also cover essential topics like TF/IDF, scalability, and new features in Elasticsearch 8, ensuring you're up to speed with the latest advancements.

Mapping and Indexing Data

In this module, we will delve into the intricacies of mapping and indexing data in Elasticsearch. You’ll learn how to connect to your cluster, index data using various methods, and manage data through updates and deletions. The module also covers dealing with concurrency, using analyzers and tokenizers, and implementing advanced data models. By the end, you’ll be equipped to structure and manage your data effectively in Elasticsearch.

Searching with Elasticsearch

In this module, we will explore the search functionalities of Elasticsearch in depth. You’ll learn how to perform searches using the Query Lite interface and JSON search, as well as how to refine your searches with advanced techniques like phrase matching, fuzzy queries, and partial matching. We’ll also cover essential topics such as pagination, sorting, and using filters to narrow down search results, ensuring you can retrieve the most relevant data quickly and efficiently.