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 operations.
• Integration with Microsoft 365 and other Microsoft services for enhanced collaboration and data management in public sector environments.
• Differences between Data Factory, Synapse, and Fabric, highlighting their respective roles in supporting government data initiatives.

Module 2 – Creating and Managing Workspaces for Government

• Understanding Fabric Workspaces and their role in public sector projects.
• Creating and organizing Workspaces to streamline government data processes.
• Permissions and access management to ensure secure and compliant use of data for government operations.

Module 3 – Lakehouse in Fabric for Government

• Lakehouse concept: combining Data Lake and Data Warehouse functionalities for comprehensive data management in the public sector.
• Creating a Lakehouse in Fabric to support government data initiatives.
• Importing and managing data to enhance decision-making and operational efficiency for government agencies.

Module 4 – Notebooks in Fabric for Government

• Introduction to Notebooks (Python, SQL) for government analysts and data scientists.
• Creating and running notebooks within Fabric to support exploratory analysis and data transformations for public sector projects.
• Use cases for leveraging notebooks in government operations, such as policy analysis and performance monitoring.

Module 5 – Pipelines (Visual ETL) for Government

• ETL concepts in Microsoft Fabric, tailored to meet the needs of government data management.
• Creating visual pipelines for efficient data ingestion and transformation in public sector applications.
• Scheduling and monitoring data flows to ensure timely and accurate data delivery for government reporting and analysis.

Module 6 – Data Warehouse for Government

• Creating Data Warehouses in Fabric to support comprehensive data storage and retrieval for government agencies.
• Table modeling and relationships to enhance data integrity and usability for public sector operations.
• Integrating with other data sources and layers to create a cohesive data ecosystem for government decision-making.

Module 7 – Semantic Model for Government

• What is a semantic model and its importance in enhancing data accessibility and analysis for government operations.
• Creating and editing analytical models to support evidence-based decision-making in the public sector.
• Measures, hierarchies, and KPIs to track and improve government performance metrics.

Module 8 – Building Reports in Power BI for Government

• Connecting to the semantic model to access comprehensive data for government reporting.
• Best practices in dashboard design to effectively communicate insights and drive informed decision-making for public sector stakeholders.
• Sharing and publishing reports in Fabric to ensure timely and secure dissemination of information within government agencies.

Summary and Next Steps for Government