
Explore the dataflow generation 2 interface, add data sources through get data, view applied steps in diagram view and query settings, and learn to export templates and inspect M code.
Extend the dataflow by adding the ECB exchange rate XML as a web data source, and calculate revenue in US dollars via Power Query.
Explore task flows in the Fabric Power BI experience to map workspace items to tasks using templates or manual links, filter dependencies, and visualize data workflows.
Discover lake house connection modes in power bi desktop for microsoft fabric, including semantic models and direct lake or sql endpoint connections with import and power query.
Use a resize measure to make table columns equal width in Power BI. Turn off auto size width, enable values to rows, and apply a placeholder resizer to lock sizing.
Leverage AI to optimize Power BI data models by exporting metadata with DAX Studio and sharing it with an AI expert for actionable, privacy-preserving improvements.
Discover how the Power BI MCP server enables external agents to interact with a locally running Power BI report, create dax measures, analyze models, and generate documentation.
Discover how to disable drill down and drill up in Power BI visuals, including tooltips, by adjusting the tooltip settings and actions icon in Power BI Desktop and service.
Learn how to transition from Power BI to Microsoft Fabric and build modern data solutions using Lakehouse, Dataflows Gen2, and Direct Lake.
This course is designed specifically for Power BI developers and analysts who want to understand how Fabric changes data modeling, data preparation, and reporting workflows.
You will build a complete workflow from data ingestion to reporting and learn how Fabric integrates with Power BI in real scenarios.
Learn how Microsoft Fabric extends Power BI and how to use it to build modern, end-to-end data solutions.
This course focuses on the transition from traditional Power BI workflows to Fabric-based architectures. You will learn how to work with Lakehouse, Dataflows Gen2, semantic models, and reporting features within Fabric.
Instead of learning isolated features, you will understand how the different components work together in a complete data workflow.
What makes this course different
This course is designed specifically for Power BI users.
You will not start from zero, but build on your existing knowledge and learn how to adapt it to Microsoft Fabric.
The focus is on practical workflows, architecture decisions, and real-world use cases rather than generic platform overviews.
What you will learn
Build a Fabric Lakehouse for Power BI reporting
Prepare and transform data using Dataflows Gen2
Understand Direct Lake, DirectQuery, and import modes
Design and extend semantic models in Fabric
Create Power BI and paginated reports within Fabric
Structure data models using star schema and best practices
Understand how data flows from ingestion to reporting in Fabric
Apply practical workflow patterns used in real business scenarios
How you will learn
This course follows a hands-on approach with practical examples and structured workflows.
Each section builds on the previous one, allowing you to understand how Power BI and Fabric work together as a complete system.
Additional topics covered
Taskflows and workflow orchestration
Advanced modeling techniques
Extensions of semantic models
Selected advanced and bonus topics related to Power BI workflows
Who this course is for
Power BI developers who want to transition to Microsoft Fabric
Data analysts with Power BI experience who want to expand their skills
BI professionals working with reporting and data modeling
Learners who want to understand how Fabric changes Power BI workflows