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Advanced Splunk

You're reading from  Advanced Splunk

Product type Book
Published in Jun 2016
Publisher
ISBN-13 9781785884351
Pages 348 pages
Edition 1st Edition
Languages
Author (1):
Ashish Kumar Tulsiram Yadav Ashish Kumar Tulsiram Yadav
Profile icon Ashish Kumar Tulsiram Yadav

Table of Contents (20) Chapters

Advanced Splunk
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Preface
1. What's New in Splunk 6.3? 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

Data processing


Data processing plays a very important role in parsing and enriching data to create insights faster and visualize data with the required analytics. Data processing basically includes event, timestamp, and host configuration.

Event configuration

Any data uploaded on Splunk is termed as an event. An event can be anything from a log activity, error logs, usage logs, to machine-generated data from devices, servers, or from any other sources. Events are used to create visualization and get insight about the source in the Splunk environment. So, it is required to process the events properly, depending on the data and source. The processed events' settings and configurations can be stored later in a source type.

Character encoding

Splunk supports many languages to support internationalization of Splunk Enterprise. The default character's set encoding on Splunk Enterprise is UTF-8, whereas it has inbuilt support for various other encoding available internationally. If the data is not...

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