Data Mastery with SSAS and MS SQL Server 2022 — Lesson 1: Business Intelligence, Warehousing, and SSAS Foundations

Learning Objectives

• Explain business intelligence, dimensional modeling, OLAP, and SQL Server 2022 data-platform roles
• Design fact tables, dimensions, keys, hierarchies, measures, and data-quality rules
• Install, configure, connect, and manage SQL Server Analysis Services environments

Detailed Topics

• Explain business intelligence: Explain business intelligence, dimensional modeling, OLAP, and SQL Server 2022 data-platform roles
• Design fact tables: Design fact tables, dimensions, keys, hierarchies, measures, and data-quality rules
• Install: Install, configure, connect, and manage SQL Server Analysis Services environments

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

Model a small analytical subject area and document the fact, dimension, and measure design.

• 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 Business Intelligence, Warehousing, and SSAS Foundations in a realistic scenario and validate the result with documented evidence.