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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

Chapter 6. Document Relationships in NoSQL World

We have all grown up learning about relational data and databases. However, relational databases have their limitations, especially when providing full-text searches. Because of the limitations faced with relational databases, the world is adapting quickly to NoSQL solutions, and despite of there being so many NoSQL databases in the market, Elasticsearch has an upper hand because it offers the handling of relationships among different entities in combination with a powerful full-text search.

In this chapter, we will cover the following topics:

  • Managing relational data in Elasticsearch
  • Working with nested objects
  • Introducing parent-child relationships
  • Considerations for using document relationships
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