Microsoft Fabric: Unified Data Analytics and BI Training Course

Module 1 – Introduction to Microsoft Fabric

• Platform overview and an examination of its key components.
• Synergy with Microsoft 365 and other Microsoft services.
• Distinctions between Data Factory, Synapse, and Fabric.

Module 2 – Workspace Creation and Management

• Conceptual understanding of Fabric Workspaces.
• Establishing and structuring Workspaces effectively.
• Managing permissions and access rights.

Module 3 – Lakehouse within Fabric

• The Lakehouse paradigm: merging Data Lake and Data Warehouse functionalities.
• Setting up a Lakehouse in Microsoft Fabric.
• Strategies for importing and managing data.

Module 4 – Notebooks in Fabric

• Overview of Notebooks using Python and SQL.
• Creating and executing notebooks within the Fabric interface.
• Applying notebooks for exploratory analysis and data transformation tasks.

Module 5 – Pipelines (Visual ETL)

• ETL methodologies in the context of Microsoft Fabric.
• Building visual pipelines for data ingestion and processing.
• Automating schedules and monitoring data flows.

Module 6 – Data Warehouse

• Provisioning Data Warehouses within Fabric.
• Designing table models and defining relationships.
• Integration with external data sources and other layers.

Module 7 – Semantic Model

• Defining semantic models and their significance in analytics.
• Constructing and refining analytical models.
• Configuring measures, hierarchies, and Key Performance Indicators (KPIs).

Module 8 – Developing Reports in Power BI

• Linking Power BI to the semantic model.
• Applying best practices for effective dashboard design.
• Distributing and publishing reports within the Fabric ecosystem.

Conclusion and Future Pathways