Microsoft Fabric: Unified Data Analytics and BI Training Course

Module 1 – Foundations of Microsoft Fabric

• Platform overview and detailed component breakdown
• Seamless integration with Microsoft 365 and associated services
• Comparative analysis of Data Factory, Synapse, and Fabric

Module 2 – Workspace Administration

• Deep dive into Fabric Workspaces
• Strategies for creating and structuring Workspaces
• Managing permissions and access control

Module 3 – The Fabric Lakehouse

• Lakehouse architecture: Merging Data Lake and Data Warehouse capabilities
• Implementation of a Lakehouse within Fabric
• Data ingestion and management workflows

Module 4 – Utilizing Fabric Notebooks

• Notebooks overview (Python and SQL)
• Development and execution of notebooks in the Fabric environment
• Applying notebooks for exploratory insights and data transformation

Module 5 – Visual ETL Pipelines

• ETL principles within Microsoft Fabric
• Designing visual pipelines for efficient data ingestion and processing
• Automating schedules and monitoring data movement

Module 6 – Data Warehouse Architecture

• Establishing Data Warehouses within Fabric
• Table modeling strategies and relationship mapping
• Linking with external data sources and internal layers

Module 7 – Semantic Modeling

• The role and significance of semantic models
• Building and refining analytical models
• Defining measures, hierarchies, and key performance indicators

Module 8 – Power BI Reporting

• Establishing connections to the semantic model
• Adhering to dashboard design best practices
• Distribution and publication of reports within Fabric

Course Conclusion and Future Pathways