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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 4. Aggregations for Analytics

Elasticsearch is a search engine at the core but what makes it more usable is its ability to make complex data analytics in an easy and simple way. The volume of data is growing rapidly and companies want to perform analysis on data in real time. Whether it is log, real-time streaming of data, or static data, Elasticsearch works wonderfully in getting a summarization of data through its aggregation capabilities.

In this chapter, we will cover the following topics:

  • Introducing the aggregation framework
  • Metric and bucket aggregations
  • Combining search, buckets, and metrics
  • Memory pressure and implications
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