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Implementing Splunk 7, Third Edition

You're reading from   Implementing Splunk 7, Third Edition Effective operational intelligence to transform machine-generated data into valuable business insight

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788836289
Length 576 pages
Edition 3rd 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 (15) Chapters Close

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. Advanced Search Examples 7. Extending Search 8. Working with Apps 9. Building Advanced Dashboards 10. Summary Indexes and CSV Files 11. Configuring Splunk 12. Advanced Deployments 13. Extending Splunk 14. Machine Learning Toolkit

Creating a data model


So now that we have a general idea of what a Splunk data model is, let's go ahead and create one. Before we can get started, we need to verify that our user ID is set up with the proper access required to create a data model. By default, only users with an admin or power role can create data models. For other users, the ability to create a data model depends on whether their roles have write access to an app.

To begin (once you have verified that you do have access to create a data model), you can click on Settings and then on Data models (under KNOWLEDGE):

This takes you to the Data Models (management) page, shown in the next screenshot. This is where a list of data models is displayed. From here, you can manage the permissions, acceleration, cloning, and removal of existing data models. You can also use this page to upload a data model or create new data models, using the Upload Data Model and New Data Model buttons on the upper-right corner, respectively.

Since this...

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