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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

Fields and filters


The field list is used to provide the list of all the fields that are used in the data. It is useful in analyzing the dataset to learn what the fields are and what type of information the field contains. Fields are categorized under selected fields and available fields wherein the name of each field is arranged in alphabetical order.

It also provides the option of knowing about the data present in the field, the top five values of the field, and its percentage breakdown for the documents containing the value. Such information is available by clicking on any of the fields from the Fields List. Also you can add the fields to view the data of that field for all the documents by clicking on Add, which is present beside the field name. It will move the field name under selected fields, which will provide you with the information of the values present in the field.

Filtering the field

This is used to filter the search results on the basis of the values of the field. Field searches...

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