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Splunk 9: Creating Data Models and Optimizing Pivot

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Duration

1h 10m

level

Intermediate

Course Creator

Adam Frisbee

Last Updated

08-Jun-23

Splunk is the most popular data analytics platform for observability, security, and business intelligence. You’ll learn how to use Splunk’s powerful tools to build and maintain data models that help Splunk data consumers get the most out of Splunk.

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Data is an organization’s most valuable technology asset. An organization’s approach to data can often make or break its success. Splunk helps businesses turn raw data into valuable insights using it’s powerful, extensible platform. In this course, Splunk 9: Creating Data Models and Optimizing Pivot, you’ll learn to recognize and group specific data in hierarchical formats to make it easy for everyday data consumers to build reports, dashboards, and alerts from those models. First, you’ll explore what it means to be a Splunk knowledge manager and the purpose of data models and the pivot tool. Next, you’ll understand why people model data and you’ll explore data model configuration files. Finally, you’ll create a data model using sample data, and build a dashboard using the pivot tool. When you’re finished with this course, you’ll have the skills and knowledge of Splunk data models and the pivot tool needed to become a Splunk knowledge manager in your organization and make powerful data easily accessible to everyday data consumers.
Author Name: Adam Frisbee
Author Description:
With a deep belief that technology empowers people, I build and mentor teams and lead organizations as a senior technology leader (Director/CTO/CIO) while fostering the next generation as a university instructor. My expertise lies in crafting impactful enterprise strategies for cloud, data, AI, and enterprise architecture while focusing on empowering the people who make it all come together.

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Splunk 9: Creating Data Models and Optimizing Pivot
Splunk 9: Creating Data Models and Optimizing Pivot
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