Microsoft Fabric: Unified Data Analytics and BI Training Course

Module 1 – Introduction to Microsoft Fabric

• Platform overview and identification of key components.
• Synergy with Microsoft 365 and complementary Microsoft services.
• Comparative analysis of Data Factory, Synapse, and Fabric.

Module 2 – Creating and Managing Workspaces

• Defining the role and structure of Fabric Workspaces.
• Procedures for creating and organizing Workspaces.
• Managing permissions and controlling user access.

Module 3 – Lakehouse in Fabric

• The Lakehouse paradigm: merging Data Lake and Data Warehouse capabilities.
• Steps to initialize a Lakehouse within Fabric.
• Strategies for data import and lifecycle management.

Module 4 – Notebooks in Fabric

• Introduction to Notebooks using Python and SQL.
• Execution and management of notebooks within the Fabric interface.
• Applying notebooks to exploratory analysis and data transformation tasks.

Module 5 – Pipelines (Visual ETL)

• Understanding ETL workflows in the context of Microsoft Fabric.
• Designing visual pipelines for data ingestion and processing.
• Scheduling data flows and implementing monitoring protocols.

Module 6 – Data Warehouse

• Provisioning Data Warehouses within Fabric.
• Structuring table models and defining relationships.
• Integrating with diverse data sources and architectural layers.

Module 7 – Semantic Model

• The importance of semantic models in data analytics.
• Techniques for creating and refining analytical models.
• Defining measures, hierarchies, and key performance indicators (KPIs).

Module 8 – Building Reports in Power BI

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

Summary and Future Directions