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.

Table of Contents

• Course Overview
  1min
• Getting Familiar with Data Models and the Pivot Tool in Splunk
  19mins
• Diving Deeper into Data Models
  31mins
• Using the Pivot Tool to Build Dashboards, Reports, and Alerts from a Data Model
  17mins