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Advanced Splunk

You're reading from   Advanced Splunk Master the art of getting the maximum out of your machine data using Splunk

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Product type Paperback
Published in Jun 2016
Publisher
ISBN-13 9781785884351
Length 348 pages
Edition 1st Edition
Tools
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Author (1):
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Ashish Kumar Tulsiram Yadav Ashish Kumar Tulsiram Yadav
Author Profile Icon Ashish Kumar Tulsiram Yadav
Ashish Kumar Tulsiram Yadav
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Table of Contents (14) Chapters Close

Preface 1. What's New in Splunk 6.3? FREE CHAPTER 2. Developing an Application on Splunk 3. On-boarding Data in Splunk 4. Data Analytics 5. Advanced Data Analytics 6. Visualization 7. Advanced Visualization 8. Dashboard Customization 9. Advanced Dashboard Customization 10. Tweaking Splunk 11. Enterprise Integration with Splunk 12. What Next? Splunk 6.4 Index

Correlation


The following set of commands that belongs to the set of the Correlation category of Splunk is used to generate insight from the given dataset by correlating various data points from one or more data sources. In simple terms, correlation means a connection or relationship between two or more things. The set of commands includes associate, contingency, correlate, and so on.

The correlate command

The correlate Splunk command is used to calculate the correlation between different fields of the events. In simpler terms, it means that this command returns an output that shows what is the co-occurrence between different fields of the given dataset. Let's say I have a dataset that has information about web server failures. Then, using the correlate command, a user can find out whenever there is a failure what other field values have also occurred most of the time. So, insight can be generated to show that whenever X set of events occurs, Y also occurs, and hence, failures can be detected...

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