This guide teaches you to effectively use Elasticsearch in your applications. It covers core concepts, installation on various operating systems, and familiarizes you with the Elastic Stack components like Kibana, Logstash, and Beats. You'll learn to import data from sources such as RDBMS and files, enabling you to manage and transform data into meaningful insights. Beginning with the fundamentals, the book progresses to installation and index management, where you'll create, update, and delete indices. You'll explore the Query DSL for crafting complex search queries and advance to handling geodata for mapping purposes. Data analysis through aggregation is also covered, along with performance tuning techniques. The final chapter focuses on Elasticsearch administration. This resource is ideal for developers, architects, DBAs, and DevOps professionals seeking to learn Elasticsearch for new or existing applications. A basic understanding of programming is required. The content is structured to guide you through the essential features and advanced topics, ensuring a comprehensive grasp of Elasticsearch's capabilities.
Anurag Srivastava Books
This author is a seasoned technical lead with over eleven years of experience in web-based application development. Their expertise includes designing and deploying scalable applications, with deep proficiency in machine learning and data science using Python. They possess extensive experience with the Elastic stack for data visualization, as well as with CI/CD tools. This author regularly contributes technical articles to their blog, sharing insights and guides on various subjects.
