Lesson 1: Business Requirements, Use Cases, Data Volume, Retention, Concurrency, and Architecture Inputs

Lesson Overview

This lesson develops practical capability in business requirements, use cases, data volume, retention, concurrency, and architecture inputs for the Architecting Splunk 8.0.1 Enterprise Deployments Training. Learners connect the topic to the wider course goal of designing scalable, secure, resilient Splunk Enterprise architectures and deployment roadmaps.

Topics Covered

Business Requirements, Use Cases, Data Volume, Retention, Concurrency, and Architecture Inputs: 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 architecture, terminology, prerequisites, roles, data flow, and measurable outcomes
Testing, validation, diagnostics, troubleshooting, documentation, and operational support

Practical Activity

Create an architecture and requirements worksheet, identify dependencies, and map the learner scenario to Splunk components.
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 business requirements, use cases, data volume, retention, concurrency, and architecture inputs.
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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Architecting Splunk 8.0.1 Enterprise Deployments Training 1 Section4 Lessons16 Hours

Curriculum