Course Information
Course Overview
Lakehouse, Dataflows Gen2, Direct Lake, Semantic Models, and Reports
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
Course Content
- 8 section(s)
- 46 lecture(s)
- Section 1 Prerequesits Microsoft Power BI within Microsoft Fabric
- Section 2 Data Preparation for Power BI inside Microsoft Fabric
- Section 3 Power BI Report creation in Microsoft Fabric
- Section 4 Power BI connection modes and local model extension
- Section 5 Further Power BI related concepts and important items in Fabric related to Power
- Section 6 Additonal Content Version Control with Power BI
- Section 7 Bonus updates and side topics for Power BI professionals
- Section 8 More PowerLearning
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
Skills covered in this course
Reviews
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SSudhir Singh
I like this course content and the way of explaining , its easy to understand.
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PPawan Kumar
there is a course part to improve your data model performance with AI and Dax studio where you download file of vertipaq engine to feed the Chat GPT , only two options are there in dax studio to download either csv file or SQL tables. In your video which file you have downloaded? and whats the hurry to complete the course where you skipped so much
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AAli Nawaz
Good
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YYelena Perez
Microsoft fabric is very ease and these videos are well explained.