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Coursera

Analyze and Automate Splunk Reporting with Data Models

EDUCBA via Coursera

Overview

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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. This course provides a comprehensive, hands-on pathway for mastering Splunk reporting and data modeling beyond basic search usage. Learners will gain practical skills to schedule and manage reports, create dynamic dashboards, and standardize search logic using macros. Through structured lessons on data models, attributes, lookups, and hierarchies, participants will learn how to simplify complex data and enable self-service analytics for stakeholders. What makes this course unique is its end-to-end, job-focused approach. Instead of isolated features, learners experience how reports, dashboards, macros, data models, and pivots work together in real-world scenarios. Performance optimization through data model acceleration and instant pivots ensures learners can deliver insights quickly and efficiently. By completing this course, learners will improve operational visibility, reduce repetitive work, and confidently design scalable Splunk solutions—making them more effective analysts, engineers, and Splunk power users.

Syllabus

  • Automating Insights with Splunk Reports & Dashboards
    • 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.
  • Reusable Logic & Data Modeling Mastery
    • 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.
  • Performance, Pivots & Visual Analytics
    • 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.

Taught by

EDUCBA

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