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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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Toc

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

Deep diving into various input methods and sources


Splunk supports numerous ways to ingest data on its server. Any data generated from a human-readable machine from various sources can be uploaded using data input methods such as files, directories, and TCP/UDP scripts which can be indexed on the Splunk Enterprise server and analytics and insights can be derived from them.

Data sources

Uploading data on Splunk is one of the most important parts of analytics and visualizations of data. If data is not properly parsed, timestamped, or broken into events, then it can be difficult to analyze and get proper insight on the data. Splunk can be used to analyze and visualize data ranging from various domains, such as IT security, networking, mobile devices, telecom infrastructure, media and entertainment devices, storage devices, and many more. The machine-generated data from different sources can be of different formats and types, and hence, it is very important to parse data in the best format to...

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