Introduction
This hands-on workshop covers the complete journey from traditional Power BI Desktop challenges to modern unified analytics with Microsoft Fabric.
Outcomes
After completing this workshop, you will master:
Data Engineering
- Creating and managing Lakehouses
- Building robust data pipelines
- Implementing smart retry logic
- Connecting multiple data sources
Analytics & Modeling
- Semantic model creation in the service
- Relationship management without Power BI Desktop
- DAX measures and calculations
- Direct Lake performance optimization
Visualization & Reporting
- Auto-report generation
- Custom report development
- Real-time data visualization
- Cross-platform compatibility
Workshop Outline
Microsoft Fabric Components
- Lakehouse – Unified data storage and analytics
- Dataflow Gen2Â – Next-generation data transformation
- Data Pipeline – Orchestration and automation
- Power BIÂ – Advanced visualization and reporting
- OneLake – Unified data lake foundation
Data Sources Integration
- Azure Data Lake Storage Gen2Â (Sales data)
- Snowflake (Supplier data)
- SharePoint (Employee data)
- Dataverse (Customer data)
Advanced Features
- Direct Lake Mode – Real-time analytics without refresh
- Visual Query Editor – Low-code transformations
- Smart Refresh Logic – Intelligent retry mechanisms
- Auto-Generated Reports – AI-powered insights
Prerequisites
- Work email address for lab environment access
- You will need access to a M365 tenant and a Microsoft Fabric licence in it
- Basic Power BI knowledge
- Understanding of data modeling concepts
- Familiarity with SQL (helpful but not required)
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