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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

Introducing relevant searches


Relevancy is the root of a search engine's value proposition and can be defined as the art of ranking content for a user's search based on how much that content satisfies the needs of the user or the business.

In an application, it does not matter how beautiful your user interface looks or how many functionalities you are providing to the user; search relevancy cannot be avoided at any cost. So, despite of the mystical behavior of search engines, you have to find a solution to get relevant results. The relevancy becomes more important because a user does not care about the whole bunch of documents that you have. The user enters their keywords, selects filters, and focuses on a very small amount of data—the relevant results. And if your search engine fails to deliver according to expectations, the user might be annoyed, which might be a loss for your business.

A search engine like Elasticsearch comes with a built-in intelligence. You enter the keyword and within...

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