Microsoft Fabric: Unified Data Analytics and BIのトレーニングコース

Module 1 – Introduction to Microsoft Fabric

• Overview of the platform and its components
• Integration with Microsoft 365 and other Microsoft services
• Differences between Data Factory, Synapse, and Fabric

Module 2 – Creating and Managing Workspaces

• Understanding Fabric Workspaces
• Creating and organizing Workspaces
• Permissions and access management

Module 3 – Lakehouse in Fabric

• Lakehouse concept: combining Data Lake + Data Warehouse
• Creating a Lakehouse in Fabric
• Importing and managing data

Module 4 – Notebooks in Fabric

• Introduction to Notebooks (Python, SQL)
• Creating and running notebooks within Fabric
• Use cases for exploratory analysis and data transformations

Module 5 – Pipelines (Visual ETL)

• ETL concepts in Microsoft Fabric
• Creating visual pipelines for data ingestion and transformation
• Scheduling and monitoring data flows

Module 6 – Data Warehouse

• Creating Data Warehouses in Fabric
• Table modeling and relationships
• Integrating with other data sources and layers

Module 7 – Semantic Model

• What is a semantic model and why it matters
• Creating and editing analytical models
• Measures, hierarchies, and KPIs

Module 8 – Building Reports in Power BI

• Connecting to the semantic model
• Best practices in dashboard design
• Sharing and publishing reports in Fabric

Summary and Next Steps