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Course Outline

Module 1 – Introduction to Microsoft Fabric

  • Platform overview and key components.
  • Integration with Microsoft 365 and other Microsoft services.
  • Distinguishing factors between Data Factory, Synapse, and Fabric.

Module 2 – Creating and Managing Workspaces

  • Understanding the role of Fabric Workspaces.
  • Creating and organizing Workspaces.
  • Managing permissions and access.

Module 3 – Lakehouse in Fabric

  • The Lakehouse concept: merging Data Lake and Data Warehouse functionalities.
  • Establishing a Lakehouse in Fabric.
  • Importing and managing data resources.

Module 4 – Notebooks in Fabric

  • Introduction to Notebooks utilizing Python and SQL.
  • Creating and executing notebooks within Fabric.
  • Application scenarios for exploratory analysis and data transformations.

Module 5 – Pipelines (Visual ETL)

  • ETL concepts specific to Microsoft Fabric.
  • Constructing visual pipelines for data ingestion and transformation.
  • Scheduling and monitoring data flows.

Module 6 – Data Warehouse

  • Creating Data Warehouses within Fabric.
  • Table modeling and establishing relationships.
  • Integrating with external data sources and other layers.

Module 7 – Semantic Model

  • Understanding semantic models and their importance.
  • Creating and editing analytical models.
  • Working with measures, hierarchies, and KPIs.

Module 8 – Building Reports in Power BI

  • Connecting to the semantic model.
  • Best practices for dashboard design.
  • Sharing and publishing reports within Fabric.

Summary and Next Steps

Requirements

  • A solid understanding of fundamental data concepts and cloud services.
  • Practical experience with data analytics tools like Power BI or SQL.
  • Familiarity with Microsoft 365 environments.

Target Audience

  • Data analysts and engineers.
  • Business intelligence developers.
  • IT professionals involved with Microsoft data platforms.
 21 Hours

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