Microsoft Fabric: Unified Data Analytics and BI Training Course

Module 1 – Introduction to Microsoft Fabric

• An overview of the platform architecture and its core components.
• Seamless integration with Microsoft 365 and other related Microsoft services.
• Key distinctions between Azure Data Factory, Synapse, and Fabric.

Module 2 – Workspace Creation and Management

• Gaining a deep understanding of Fabric Workspaces.
• Steps to create and logically organize Workspaces.
• Managing permissions and user access effectively.

Module 3 – The Lakehouse in Fabric

• The Lakehouse concept: a unified approach combining Data Lake and Data Warehouse capabilities.
• Procedures for establishing a Lakehouse within Fabric.
• Best practices for importing and managing data assets.

Module 4 – Utilizing Notebooks in Fabric

• Introduction to Notebooks, supporting both Python and SQL.
• Creating and executing notebooks directly within the Fabric environment.
• Practical applications for exploratory analysis and data transformation tasks.

Module 5 – Pipelines (Visual ETL)

• Core ETL concepts as applied within Microsoft Fabric.
• Building visual pipelines to handle data ingestion and transformation processes.
• Strategies for scheduling and monitoring data flows.

Module 6 – Data Warehouse Implementation

• Setting up Data Warehouses within the Fabric framework.
• Defining table models and establishing data relationships.
• Integrating warehouse data with other sources and analytical layers.

Module 7 – Semantic Modeling

• Understanding what a semantic model is and its critical role in analytics.
• Techniques for creating and refining analytical models.
• Defining measures, hierarchies, and key performance indicators (KPIs).

Module 8 – Developing Reports with Power BI

• Establishing connections to the semantic model for reporting.
• Adhering to best practices in dashboard and report design.
• Processes for sharing and publishing reports within Fabric.

Course Summary and Future Directions