Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Microsoft Fabric for Power BI Developers
Rating: 4.5 out of 5(61 ratings)
323 students

Microsoft Fabric for Power BI Developers

Lakehouse, Dataflows Gen2, Direct Lake, Semantic Models, and Reports
Created byDan We
Last updated 5/2026
English

What you'll learn

  • Build a Fabric Lakehouse for Power BI reporting
  • Prepare and transform data with Dataflows Gen2
  • Design star schema and snowflake semantic models
  • Create Power BI and paginated reports inside Fabric
  • Choose between Direct Lake and Direct Query and understand the trade-offs
  • Extend Fabric semantic models with local models and advanced relationships
  • Use Taskflows and related Fabric features to support reporting workflows

Course content

8 sections47 lectures5h 12m total length
  • 1 Microsoft Fabric for Power BI Developers0:54
  • Download course resources0:02
  • 3 Key Terminologies in Microsoft Fabric2:51
  • 4 Getting started with Power BI in Microsoft Fabric Setting up the Workspace12:10
  • 5 Creating our first Fabric Item the data storage9:48

Requirements

  • The course is hands on so a Fabric (trial) capacity is necessary if you like to do the exercise yourself
  • Power BI experience is certainly helpful
  • Fabric experience is NOT required. We start from scratch

Description

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


Who this course is for:

  • Power BI developers who want to work effectively in Microsoft Fabric
  • Data analysts with Power BI experience who want to learn Fabric reporting workflows
  • BI professionals who need hands-on exposure to Lakehouse, Dataflows Gen2, Direct Lake, and semantic models
  • Learners preparing for Power BI and Fabric-focused analytics roles