Microsoft Fabric: Unified Data Analytics and BI Training Course

Module 1 – Introduction to Microsoft Fabric for Government

• Overview of the platform and its components, tailored for government use
• Integration with Microsoft 365 and other Microsoft services, enhancing collaboration and data management for government agencies
• Differences between Data Factory, Synapse, and Fabric, highlighting their specific roles in government workflows

Module 2 – Creating and Managing Workspaces for Government

• Understanding Fabric Workspaces within the context of government operations
• Creating and organizing Workspaces to align with public sector requirements
• Permissions and access management, ensuring compliance with government security standards

Module 3 – Lakehouse in Fabric for Government

• Lakehouse concept: combining Data Lake + Data Warehouse to support comprehensive data governance for government
• Creating a Lakehouse in Fabric, tailored for government datasets and regulations
• Importing and managing data with a focus on transparency and accountability

Module 4 – Notebooks in Fabric for Government

• Introduction to Notebooks (Python, SQL) for government analysts and developers
• Creating and running notebooks within Fabric, optimized for government data exploration
• Use cases for exploratory analysis and data transformations in public sector projects

Module 5 – Pipelines (Visual ETL) for Government

• ETL concepts in Microsoft Fabric, designed to meet government data processing needs
• Creating visual pipelines for data ingestion and transformation, ensuring data integrity and compliance
• Scheduling and monitoring data flows to support efficient government operations

Module 6 – Data Warehouse for Government

• Creating Data Warehouses in Fabric, tailored to the unique requirements of government agencies
• Table modeling and relationships, aligned with government data standards
• Integrating with other data sources and layers to enhance government data ecosystems

Module 7 – Semantic Model for Government

• What is a semantic model and why it matters in the context of government data management
• Creating and editing analytical models to support evidence-based decision-making
• Measures, hierarchies, and KPIs, tailored for government performance metrics

Module 8 – Building Reports in Power BI for Government

• Connecting to the semantic model to generate comprehensive reports for government stakeholders
• Best practices in dashboard design, ensuring clear and actionable insights for government users
• Sharing and publishing reports in Fabric, facilitating transparent communication within government agencies

Summary and Next Steps for Government