Microsoft Fabric: Unified Data Analytics and BI Training Course

Module 1 – Getting Started with Microsoft Fabric

• An overview of the platform’s architecture and key components
• Seamless integration with Microsoft 365 and associated services
• Distinguishing between Data Factory, Synapse, and Fabric

Module 2 – Workspace Creation and Administration

• Deep dive into the functionality of Fabric Workspaces
• Strategies for creating and structuring Workspaces effectively
• Managing user permissions and access rights

Module 3 – Leveraging Lakehouse in Fabric

• The Lakehouse concept: merging the benefits of Data Lakes and Data Warehouses
• Step-by-step process for establishing a Lakehouse within Fabric
• Techniques for importing and managing data assets

Module 4 – Utilizing Notebooks in Fabric

• Introduction to Notebooks supporting Python and SQL
• Procedures for creating and executing notebooks inside Fabric
• Applying notebooks for exploratory data analysis and transformation tasks

Module 5 – Pipelines and Visual ETL

• Exploring ETL principles within the Microsoft Fabric framework
• Building visual pipelines to handle data ingestion and transformation
• Techniques for scheduling and monitoring data flow operations

Module 6 – Data Warehouse Implementation

• Setting up Data Warehouses within Fabric
• Best practices for table modeling and defining relationships
• Integrating warehouse data with other sources and architectural layers

Module 7 – Semantic Model Development

• Understanding the importance of semantic models in data analysis
• Creating and refining analytical models
• Defining measures, hierarchies, and Key Performance Indicators (KPIs)

Module 8 – Report Creation in Power BI

• Establishing connections to the underlying semantic model
• Applying best practices for effective dashboard design
• Processes for sharing and publishing reports within the Fabric ecosystem

Course Conclusion and Future Directions