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Elasticsearch Essentials

You're reading from Elasticsearch Essentials Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide

Product type Paperback

Published in Jan 2016

Publisher

ISBN-13 9781784391010

Length 240 pages

Edition 1st Edition

Languages

Java

Tools

Elasticsearch

Concepts

Enterprise Search

Table of Contents (12) Chapters

Preface

1. Getting Started with Elasticsearch FREE CHAPTER

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.

The rest of the chapter is locked

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