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Elasticsearch Essentials

You're reading from  Elasticsearch Essentials

Product type Book
Published in Jan 2016
Publisher
ISBN-13 9781784391010
Pages 240 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (18) Chapters

Elasticsearch Essentials
Credits
About the Author
Acknowledgments
About the Reviewer
www.PacktPub.com
Preface
1. Getting Started with Elasticsearch 2. Understanding Document Analysis and Creating Mappings 3. Putting Elasticsearch into Action 4. Aggregations for Analytics 5. Data Looks Better on Maps: Master Geo-Spatiality 6. Document Relationships in NoSQL World 7. Different Methods of Search and Bulk Operations 8. Controlling Relevancy 9. Cluster Scaling in Production Deployments 10. Backups and Security Index

Summary

In this chapter, we covered a lot of ground involving inverted indexes, document analysis phases, the working of analyzers, and creating custom analyzers. We also learned about creating and working with mappings of different data types.

In the next chapter, we will start pushing data into Elasticsearch and will learn how to perform operations with Elasticsearch using Python and Java API.

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