Lesson 4: Dashboards, Alerts, Model Operations, Governance, Monitoring, and Analytics Capstone

Lesson Overview

This lesson develops practical capability in dashboards, alerts, model operations, governance, monitoring, and analytics capstone for the Splunk 8.0 for Analytics and Data Science Training. Learners connect the topic to the wider course goal of preparing data, performing statistical analysis, building predictive workflows, and operationalizing insights.

Topics Covered

Dashboards, Alerts, Model Operations, Governance, Monitoring, and Analytics Capstone: 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 performance, release, documentation, governance, maintenance, and operational handover
Testing, validation, diagnostics, troubleshooting, documentation, and operational support

Practical Activity

Prepare a controlled operational checklist covering testing, release, monitoring, security, support, and continuous improvement.
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 dashboards, alerts, model operations, governance, monitoring, and analytics capstone.
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.

Write a Review Cancel reply

You must be logged in to post a comment.

Splunk 8.0 for Analytics and Data Science Training 1 Section4 Lessons24 Hours

Curriculum