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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

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Product type Paperback
Published in Jan 2016
Publisher
ISBN-13 9781784391010
Length 240 pages
Edition 1st Edition
Languages
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Toc

Table of Contents (12) Chapters Close

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

This chapter covered the most important aspects of search engines; that is, relevancy. We discussed the powerful scoring capabilities available in Elasticsearch and the practical examples to show how you can control the scoring process according to your needs. Despite the relevancy challenges faced while working with search engines, the out-of-the-box features such as function scores and custom scoring always allow us to tackle challenges with ease.

In the next chapter, you will learn how to set up an Elasticsearch cluster and configure different types of node for production deployments.

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