Data Mastery with SSAS and MS SQL Server 2022 — Lesson 2: Multidimensional Models, Cubes, and MDX

Learning Objectives

• Create data sources, data source views, dimensions, cubes, measures, and calculated members
• Design hierarchies, relationships, aggregations, partitions, and processing strategies
• Query and validate multidimensional models using MDX concepts and business scenarios

Detailed Topics

• Create data sources: Create data sources, data source views, dimensions, cubes, measures, and calculated members
• Design hierarchies: Design hierarchies, relationships, aggregations, partitions, and processing strategies
• Query and validate multidimensional models using MDX concepts and business scenarios: Query and validate multidimensional models using MDX concepts and business scenarios

Guided Demonstration

1. Review the requirement, environment, dependencies, roles, risks, and expected outcome.
2. Demonstrate the relevant configuration, analysis, code, or administration workflow step by step.
3. Capture settings, outputs, logs, screenshots, calculations, or test evidence.
4. Compare the observed result with the stated acceptance criteria.

Hands-On Activity

Build and process a compact cube, then validate it with analytical queries.

• Document assumptions and the planned sequence before making changes.
• Complete the activity and preserve evidence of normal and exception behavior.
• Record issues, corrective actions, and reusable operational or development notes.

Troubleshooting Focus

• Separate symptoms from causes and collect evidence before applying a fix.
• Check configuration, permissions, data, dependencies, capacity, connectivity, and recent changes.
• Validate rollback, recovery, support ownership, and user or business impact.

Validation Checklist

• The requirement and expected outcome are clear.
• The selected configuration, design, query, code, or process is documented.
• Normal, boundary, failure, security, and operational conditions are reviewed.
• The result is supported by evidence and the next improvement is prioritized.

Lesson Outcome

Learners can explain and apply Multidimensional Models, Cubes, and MDX in a realistic scenario and validate the result with documented evidence.