Lesson 3: Macros, Workflow Actions, Data Models, Pivot, Acceleration, and Knowledge Management

Lesson Overview

This lesson develops practical capability in macros, workflow actions, data models, pivot, acceleration, and knowledge management for the Splunk Fundamentals 2 Training. Learners connect the topic to the wider course goal of advanced SPL, field extraction, lookups, knowledge objects, data models, and reusable analytics.

Topics Covered

Macros, Workflow Actions, Data Models, Pivot, Acceleration, and Knowledge Management: purpose, terminology, architecture, roles, and expected business or operational outcomes
Core Splunk data, searches, configuration, objects, integrations, interfaces, and security controls relevant to the topic
Design decisions, dependencies, risks, permissions, performance considerations, and governance requirements
Guided practice focused on hands-on workflows, validation scenarios, analytics, diagnostics, and troubleshooting
Testing, validation, diagnostics, troubleshooting, documentation, and operational support

Practical Activity

Run a realistic validation scenario, review logs and dashboards, diagnose an injected issue, and document corrective actions.
Capture assumptions, configuration choices, expected results, test evidence, and remediation notes in a reusable worksheet.
Review the completed exercise against security, data quality, performance, maintainability, and support-readiness criteria.

Key Takeaways

Explain the purpose and architecture of macros, workflow actions, data models, pivot, acceleration, and knowledge management.
Apply the principal Splunk features and workflows required for the lesson scenario.
Validate results, identify common failure points, document decisions, and support a controlled operational outcome.

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Splunk Fundamentals 2 Training 1 Section4 Lessons24 Hours

Curriculum