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Preface

With constantly evolving and growing datasets, organizations have the need to find actionable insights for their business. Elasticsearch, which is the world's most advanced search and analytics engine, brings the ability to make massive amounts of data usable in a matter of milliseconds. It not only gives you the power to build blazingly fast search solutions over a massive amount of data, but can also serve as a NoSQL data store.

Elasticsearch Essentials will guide you to become a competent developer quickly with a solid knowledge and understanding of the Elasticsearch core concepts. In the beginning, this book will cover the fundamental concepts required to start working with Elasticsearch and then it will take you through more advanced concepts of search techniques and data analytics.

This book provides complete coverage of working with Elasticsearch using Python and Java APIs to perform CRUD operations, aggregation-based analytics, handling document relationships, working with geospatial data, and controlling search relevancy.

In the end, you will not only learn about scaling Elasticsearch clusters in production, but also how to secure Elasticsearch clusters and take data backups using best practices.

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