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Improving Your Splunk Skills

You're reading from   Improving Your Splunk Skills Leverage the operational intelligence capabilities of Splunk to unlock new hidden business insights

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Product type Course
Published in Aug 2019
Publisher Packt
ISBN-13 9781838981747
Length 680 pages
Edition 1st Edition
Languages
Tools
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Authors (4):
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James D. Miller James D. Miller
Author Profile Icon James D. Miller
James D. Miller
Josh Diakun Josh Diakun
Author Profile Icon Josh Diakun
Josh Diakun
Paul R. Johnson Paul R. Johnson
Author Profile Icon Paul R. Johnson
Paul R. Johnson
Derek Mock Derek Mock
Author Profile Icon Derek Mock
Derek Mock
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Table of Contents (21) Chapters Close

Title Page
Copyright and Credits About Packt Contributors Preface 1. The Splunk Interface FREE CHAPTER 2. Understanding Search 3. Tables, Charts, and Fields 4. Data Models and Pivots 5. Simple XML Dashboards 6. Extending Search 7. Working with Apps 8. Building Advanced Dashboards 9. Summary Indexes and CSV Files 10. Configuring Splunk 11. Play Time – Getting Data In 12. Building an Operational Intelligence Application 13. Diving Deeper – Advanced Searching, Machine Learning and Predictive Analytics 14. Speeding Up Intelligence – Data Summarization 15. Above and Beyond – Customization, Web Framework, HTTP Event Collector, REST API, and SDKs 1. Other Books You May Enjoy

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While most of the data you will index with Splunk will be collected in real time, there might be instances where you have a set of data that you would like to put into Splunk, either to backfill some missing or incomplete data, or just to take advantage of its searching and reporting tools.

This recipe will show you how to perform one-time bulk loads of data from files located on the Splunk server. We will also use this recipe to load the data samples that will be used throughout the subsequent chapters as we build our operational intelligence app in Splunk.

There are three files that make up our sample data. The first is access_log, which represents the data from our web layer and is modeled on an Apache web server. The second file is app_log, which represents the data from our application layer and is modeled on log4j log data from our custom...

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