Microsoft Fabric: Unified Data Analytics and BI Training Course

Module 1 – Introduction to Microsoft Fabric

• Overview of platform capabilities and constituent components
• Interoperability with Microsoft 365 and the broader Microsoft services ecosystem
• Comparative analysis of Data Factory, Synapse, and Fabric architectures

Module 2 – Creation and Management of Workspaces

• Functional overview of Fabric Workspaces
• Procedures for establishing and organizing workspace environments
• Governance, permissions, and access control mechanisms

Module 3 – Lakehouse Architecture in Fabric

• The Lakehouse paradigm: integrating Data Lake and Data Warehouse capabilities
• Implementation of Lakehouse environments within Fabric
• Protocols for data ingestion, retention, and management

Module 4 – Notebooks in Fabric

• Introduction to notebook functionality using Python and SQL
• Execution and management of notebooks within the Fabric environment
• Application of notebooks for exploratory data analysis and transformation workflows

Module 5 – Pipelines (Visual ETL)

• Extract, Transform, Load (ETL) principles within Microsoft Fabric
• Configuration of visual pipelines for data ingestion and processing
• Scheduling mechanisms and performance monitoring for data flows

Module 6 – Data Warehouse Implementation

• Establishment of Data Warehouse instances in Fabric
• Design of table models and definitional relationships
• Integration strategies with external data sources and layered architectures

Module 7 – Semantic Models

• Definition of semantic models and their strategic importance for governance
• Development and maintenance of analytical models
• Configuration of measures, hierarchies, and Key Performance Indicators (KPIs)

Module 8 – Report Development in Power BI

• Establishment of connections to semantic models
• Adherence to best practices in dashboard and visual design
• Distribution protocols and report publication within Fabric

Summary and Strategic Next Steps