Microsoft Fabric: Unified Data Analytics and BI Training Course

Module 1 – Introduction to Microsoft Fabric

• Platform overview and component analysis.
• Integration with Microsoft 365 and other Microsoft services.
• Key differences between Data Factory, Synapse, and Fabric.

Module 2 – Creating and Managing Workspaces

• Understanding the role of Fabric Workspaces.
• Techniques for creating and organizing Workspaces.
• Managing permissions and access controls.

Module 3 – Lakehouse in Fabric

• Concept of Lakehouse: merging Data Lake and Data Warehouse functionalities.
• Steps to create a Lakehouse in Fabric.
• Data importation and management strategies.

Module 4 – Notebooks in Fabric

• Introduction to Notebooks (Python, SQL).
• Creating and executing notebooks within Fabric.
• Applications in exploratory analysis and data transformation.

Module 5 – Pipelines (Visual ETL)

• ETL concepts within Microsoft Fabric.
• Designing visual pipelines for data ingestion and transformation.
• Scheduling and monitoring data flows.

Module 6 – Data Warehouse

• Establishing Data Warehouses in Fabric.
• Table modeling and defining relationships.
• Integration with other data sources and layers.

Module 7 – Semantic Model

• Definition and importance of semantic models.
• Creating and editing analytical models.
• Working with measures, hierarchies, and KPIs.

Module 8 – Building Reports in Power BI

• Connecting to the semantic model.
• Best practices for dashboard design.
• Sharing and publishing reports within Fabric.

Summary and Next Steps