Power BI Data Analyst with Fabric — Lesson 1: Fabric and Power BI Analytics Foundations

Lesson Overview

This lesson develops practical understanding of Fabric and Power BI Analytics Foundations within the Power BI Data Analyst with Fabric learning path.

Learners connect the key concepts to a realistic Power BI data analysis integrated with Microsoft Fabric scenario and document the decisions, evidence, risks, and improvement opportunities identified during the activity.

Learning Objectives

• Explain the purpose and role of fabric and power bi analytics foundations.
• Apply the lesson concepts to a practical Power BI data analysis integrated with Microsoft Fabric requirement.
• Recognize security, governance, operational, and quality considerations.
• Validate the result and recommend appropriate next steps.

Topics Covered

• Microsoft Fabric workloads
• OneLake concepts
• Power BI integration
• analytics workflow planning

Hands-On Activity

1. Review the scenario, stakeholders, current process, requirements, and expected outcome.
2. Prepare the required Microsoft environment, design, query, report, script, or configuration.
3. Complete the guided implementation and record important decisions and dependencies.
4. Test the outcome using functional, security, data-quality, and operational checks.
5. Document issues, corrective actions, evidence, and an improvement recommendation.

Validation Checklist

• The solution or analysis matches the documented requirement.
• Configuration, calculations, queries, scripts, or workflows produce the expected result.
• Security, access, governance, data quality, and operational impacts are reviewed.
• Errors and limitations are documented with clear corrective actions.
• The final output includes reusable notes and practical next steps.

Lesson Outcome

After completing this lesson, learners can explain, apply, and validate fabric and power bi analytics foundations in a realistic workplace scenario.