By the end of this course, learners will be able to automate Splunk reports, design interactive dashboards, apply reusable macros, build structured data models, and generate high-performance visual analytics using pivots and acceleration techniques.

Analyze and Automate Splunk Reporting with Data Models

Recommended experience
What you'll learn
Automate Splunk reports and build interactive dashboards for actionable visual analytics.
Create reusable macros and structured data models to simplify and standardize Splunk searches.
Optimize analytics performance using pivots and data model acceleration techniques.
Details to know

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February 2026
12 assignments
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There are 3 modules in this course
This module introduces learners to automating analytics in Splunk by creating, managing, and optimizing scheduled reports and dashboards, enabling consistent monitoring and effective data visualization for operational insights.
What's included
9 videos4 assignments
This module focuses on building reusable search logic and structured data models in Splunk, enabling scalable reporting, simplified analysis, and improved consistency across dashboards and pivots.
What's included
9 videos4 assignments
This module equips learners with performance optimization techniques and visual analytics skills by leveraging data model acceleration, pivots, and interactive visualizations to drive actionable insights.
What's included
9 videos4 assignments
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