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Creating Data Models and Optimizing Pivot in Splunk

by Adam Frisbee

Data models and the Pivot tool are Splunk's secret weapon. Understanding how to construct iron-clad models from vast amounts of information technology data is what separates the novices from the pros.

What you'll learn

Become a Splunk knowledge manager, and enable your organization to make data-driven decisions. In this course, Creating Data Models and Optimizing Pivot in Splunk, you will gain the ability to build robust data models that will become the foundation for business and IT decision making, timely and accurate responses to incidents, and predictions about the future of the organization. First, you will learn what it means to be a Splunk knowledge manager. You will learn about the types of knowledge objects in Splunk and how to create and manage them. Next, you will discover the power of Splunk data models through hands-on demonstrations. Finally, you will explore how to build compelling dashboards, reports, and alerts that are built on data models. When you're finished with this course, you will have the skills and knowledge of data models and the Pivot tool in Splunk needed to become a Splunk knowledge manager.

About the author

Adam Frisbee is an educator, researcher, and practitioner in information systems and technology, specializing in cloud and devops. He is part of the information systems faculty at a major university where he researched, developed the curriculum for, and teaches the graduate level Cloud Computing course (among others). Adam is an experienced professional, having led technology strategy initiatives and technology teams in such diverse domains as convention and tourism, healthcare, manufacturing, h... more

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