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Mastering Splunk

You're reading from   Mastering Splunk Optimize your machine-generated data effectively by developing advanced analytics with Splunk

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Product type Paperback
Published in Dec 2014
Publisher
ISBN-13 9781782173830
Length 344 pages
Edition 1st Edition
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Author (1):
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James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
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Table of Contents (13) Chapters Close

Preface 1. The Application of Splunk FREE CHAPTER 2. Advanced Searching 3. Mastering Tables, Charts, and Fields 4. Lookups 5. Progressive Dashboards 6. Indexes and Indexing 7. Evolving your Apps 8. Monitoring and Alerting 9. Transactional Splunk 10. Splunk – Meet the Enterprise A. Quick Start Index

Introduction


Machines constantly generate data, usually in a raw form that is most efficient for processing by machines, but not easily understood by "human" data consumers. Splunk has the ability to identify unique identifiers and/or result or status codes within the data. This gives you the ability to enhance the readability of the data by adding descriptions or names as new search result fields. These fields contain information from an external source such as a static table (a CSV file) or the dynamic result of a Python command or a Python-based script.

Note

Splunk's lookups can use information within returned events or time information to determine how to add other fields from your previously defined external data sources.

To illustrate, here is an example of a Splunk static lookup that:

  • Uses the Business Unit value in an event

  • Matches this value with the organization's business unit name in a CSV file

  • Adds the definition to the event (as the Business Unit Name field)

So, if you have an event...

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