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Microsoft Fabric Data Engineering Course

Modules covered in

The Ultimate Guide for Microsoft Fabric Data Engineering Course

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Module 1

Introduction to Microsoft Fabric
  • Overview of Microsoft Fabric and its unified analytics solution.
  • Understanding OneLake and its features.
  • Access control and permissions in Microsoft Fabric.
  • Setting up a Fabric environment.
  • Explore the Microsoft Fabric interface and OneLake.
  • Set up access controls for a workspace in Fabric.

Module 2

Lakehouse and Warehouse Fundamentals
  • Introduction to Fabric Lakehouse and its features.
  • Introduction to Fabric Warehouse and its features.
  • Data ingestion methods into Lakehouse and Warehouse.
  • Comparison of Lakehouse vs Warehouse.
  • Create and configure a Lakehouse.
  • Populate a Fabric Warehouse using COPY INTO and pipelines.

Module 3

Advanced Data Engineering Techniques
  • Implementing row-level, column-level, and object-level security.
  • Dynamic data masking in Fabric Warehouse.
  • Securing and sharing Lakehouse and Warehouse data.
  • Implement security features for a Warehouse.
  • Apply dynamic data masking to sensitive data.

Module 4

Medallion Architecture with Microsoft Fabric
  • Implementing Medallion Architecture (Bronze, Silver, Gold layers).
  • Different architectural patterns in Microsoft Fabric.
  • Incremental data loading strategies.
  • Build an end-to-end pipeline with Medallion Architecture.
  • Ingest and transform data incrementally in all layers.

Module 5

Integration with Power BI
  • Power BI integration with Microsoft Fabric.
  • Updating Power BI from XMLA endpoints.
  • Different ways to refresh Power BI semantic models.
  • Create Power BI reports using Fabric semantic models.
  • Automate Power BI dataset refresh processes.

Module 6

Continuous Integration and Deployment (CI/CD)
  • Enabling Git integration in Fabric projects.
  • Building an end-to-end CI/CD pipeline in Fabric.
  • Migrating Synapse notebooks to Microsoft Fabric.
  • Integrate Git into a Fabric workspace.
  • Migrate Synapse notebooks and validate their execution.

Module 7

Monitoring and Optimization
  • Using Capacity Metrics App for monitoring.
  • Understanding throttling stages and optimizing resources.
  • Performance optimization for data pipelines.
  • Monitor workspace and capacity usage with Capacity Metrics App.
  • Identify and resolve throttling issues in Fabric.