Elasticsearch, The Definitive Guide (1 ed)

Whether you need full-text search, real-time analytics on structured data, or both, Elasticsearch is the distributed search engine that turns your data into actionable insights. This hands-on guide teaches you not only how to search, analyze, and explore data with Elasticsearch but also how to navigate the complexities of human language, geolocation, and data relationships.

For beginners in search and distributed systems, the book provides a clear path to integrating Elasticsearch into your applications. Experienced users will discover advanced techniques and best practices. Using a problem-focused approach, you’ll learn when, why, and how to leverage Elasticsearch features effectively.

What You Will Learn:

• Understand how Elasticsearch interprets and organizes the data in your documents
• Index and query data efficiently, using search concepts such as relevance, scoring, and word proximity
• Handle human language with analyzers, tokenizers, and advanced query strategies
• Summarize and group data to uncover trends using aggregations and analytics
• Work with geolocation data using geo-points and geo-shapes
• Model your data to fully exploit Elasticsearch’s horizontal scalability
• Configure, monitor, and maintain a production-ready Elasticsearch cluster

By the end of this book, you’ll be equipped to transform complex datasets into actionable insights, build scalable search solutions, and master the powerful capabilities of Elasticsearch in real-world applications.