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Mastering Elastic Stack

You're reading from  Mastering Elastic Stack

Product type Book
Published in Feb 2017
Publisher Packt
ISBN-13 9781786460011
Pages 526 pages
Edition 1st Edition
Languages
Authors (2):
Ravi Kumar Gupta Ravi Kumar Gupta
Profile icon Ravi Kumar Gupta
Yuvraj Gupta Yuvraj Gupta
Profile icon Yuvraj Gupta
View More author details

Table of Contents (19) Chapters

Mastering Elastic Stack
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Elastic Stack Overview 2. Stepping into Elasticsearch 3. Exploring Logstash and Its Plugins 4. Kibana Interface 5. Using Beats 6. Elastic Stack in Action 7. Customizing Elastic Stack 8. Elasticsearch APIs 9. X-Pack: Security and Monitoring 10. X-Pack: Alerting, Graph, and Reporting 11. Best Practices 12. Case Study-Meetup

Aggregations


This framework is a very important part of Elasticsearch. As the name suggests, this framework helps us to do aggregations and generate analytic information on result of a search query. Aggregations help us to get better insight of the data. For example, if we take our library index into account, we can get answers to: How many books in a specific year, which technology, average book per year, and many more.

These aggregations show their power when it comes to gaining insight of system data on a dashboard. Most often system dashboards have aggregated data in form of charts. We will also be using aggregations in later chapters and those aggregations will help Kibana to generate useful visualizations.

There are two types of core aggregations: metrics and buckets. We will learn about these in this section.

Bucket

These aggregations create buckets of documents based on a criterion. These types of aggregations can also hold sub-aggregations. We will learn about sub-aggregations in this...

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