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Mastering Elastic Stack

You're reading from   Mastering Elastic Stack Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios.

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781786460011
Length 526 pages
Edition 1st Edition
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Authors (2):
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Ravi Kumar Gupta Ravi Kumar Gupta
Author Profile Icon Ravi Kumar Gupta
Ravi Kumar Gupta
Yuvraj Gupta Yuvraj Gupta
Author Profile Icon Yuvraj Gupta
Yuvraj Gupta
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Toc

Table of Contents (13) Chapters Close

Preface 1. Elastic Stack Overview FREE CHAPTER 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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