Name: Microsoft Fabric Beginners: Lakehouse, Notebooks, Power BI
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Created byDan We

Last updated 5/2026

English

What you'll learn

Create a Fabric workspace and start with the Fabric trial
Build Lakehouse and Warehouse items on OneLake
Move and orchestrate data with Dataflows Gen2 and pipelines
Query SQL endpoints and understand Lakehouse vs Warehouse
Run PySpark notebooks and parameterized workflows
Connect Fabric items to Power BI for reporting and automation
Explore real-time scenarios with Real-Time Intelligence, KQL, and Fabric streaming components
Use Git and Azure DevOps version control in Fabric

Course content

3 sections • 68 lectures • 10h 0m total length

Information0:29
Hello and welcome to the the new Microsoft Fabric for beginners course. This section contains all the updated videos. I put a lot of time to update the videos to ensure the best kind of learning experience for you. The "older" videos in the secon section will remain part of the course for a transition period so all students can continue their learning journey without interruption.
My favor to ask. If you enjoy the course and think it is helpful please provide your rating after having finished the course. It is extremely important and helps to keep this course on the platform updated and provide future bonus videos. Appreciate your support :)
Now lets get started together!
Resources0:02
2 Fabric in a nutshell and key terminologies4:16
3 Enable the Fabric Trial capacity2:36
4 Our first tour in the Microsoft Fabric SaaS Platform11:29
5 The Fabric Workspace and important configuration settings10:53
6 Lakehouse Create your first Fabric Item7:29
7 Creating Delta tables in Mircosot Fabric Lakehouses6:49
8 Exploring the new Dataflow Gen 2 in Microsoft Fabric18:18
9 Fabric Data Pipelines How to use them to create delta tables in Fabric7:07
10 Data Pipeline Activities in Microsoft Fabric7:20
11 Exploring the Fabric Lakehouse SQL Endpoint using external tools4:37
12 Testing SQL and No Code SQL with the SQL Enpoint in MS Fabric12:04
13 Auto Visualizing Data in Fabric with Power BI13:26
14 Using Microsoft Fabric Items as Power BI Data sources7:56
15 Introduction to Warehouses in Microsoft Fabric16:15
16 Dataengineering Notebook introduction in Microsoft Fabric13:15
17 Pyspark and Pandas examples in MS Fabric Notebooks9:38
18 Parameterized Notebooks with Fabric Data Pipelines16:28
19 Introduction to Version Control in Microsoft Fabric15:09
20 Version Control For Power BI Reports in Microsoft Fabric12:02
21 Exploring the Fabric One Lake file explorer the OneDrive for Fabric4:38
22 Data Virtualization in MS Fabric Create your first shortcuts7:26
23 Pyspark without Code in Fabric How to use the DataWrangler in MS Fabric12:23
24 Default Python Packages and Environment configuration for Notebooks in Micros12:08
25 Paginated Reports in Microsoft Fabric12:17
26 Semantik Link in Fabric Using Power BI Semantik Models in Notebooks15:34
27 Refresh Power BI semantic models within Notebooks7:20
28 Realtime Streaming and Eventhouses in Microsoft Fabric14:58
29 The powerful version history attribute of delta tables in MS Fabric14:34
Power Query Tip and Update for Mac Users3:03
Create your own DAX functions in Power BI10:19
Congratulations, thanks a lot and one favor to ask0:21

Course resources and helpful links0:07
3 Data Lakehouses in Microsoft Fabric lets create our first one5:44
4 Creating your first delta table in Fabric Lakehouse5:16
5 How to use Dataflow Gen 2 in Microsoft Fabric8:42
6 Exploring Fabric Data Pipelines8:46
7 Querying the Lakehouse Delta tables with external tools4:03
8 A quick Mcrosoft Fabric Workspace Tour5:15
9 Creating Power BI Reports with Lakehouse Datasets in Microsoft Fabric8:50
10 Power BI Destkop Reports with Lakehouse as data source7:29
11 Fabric Warehouses Home to Database Admins8:45
12 Fabric Data Warehouse Interacting with the SQL Endpoint with Power BI and Azu7:50
13 Fabric Notebooks for Data Engineers Pyspark and More9:18
14 Fabric for Data Engineers Pyspark and Pandas in Fabric 29:46
Bonus How to parameterize a Datapipline and pass Parameters to Notebooks20:31
Trigger Power BI Semantic Model refreshes with Pipeline Activities in Microsoft6:17
15 Fabric Power BI Version Control Setup7:55
16 Fabric Power BI Version Control Example14:14
17 Checking out the new OneLake File explorer3:39
18 Shortcuts in Microsoft Fabric internal and external data sources6:33
19 Helpful features of Fabric Dataflow Gen 210:09
20 Data Wrangler in Fabric Notebooks for Data Engineers and Data Scientists7:39
Library and Dependency Management for Microsoft Fabric Notebooks4:05
Modify the Default Dataset of Lakehouses and Warehouses in Fabric Video for DBAs11:03
Paginated Reports for Power BI in Mircrosoft Fabric9:06
Using your own custom modules and functions inside Fabric Jupyter Notebooks4:25
Semantic Link in Fabric Power BI Dataset in Jupyter Notebooks17:02
How to run Notebooks from other Notebooks in Fabric13:53
Resources for the next section0:03
Important Note for the next lecture0:14
28 Getting started with Realtime streaming analytics in MS Fabric18:42
29 Realt time Streaming Analytics with your own Data in Microsoft Fabric17:58
Working with Delta Table History in Microsoft Fabric15:12

Requirements

To follow along HANDS ON with the exercises you need a few licenses (free trials available)
You need a Trial License for Fabric (free Trial available)
You need a Power BI License (can be created for free)
For the last exercise Power BI Version control you need Azure DevOps and a code editor installed (e.g. VS Code)
If you don't want to do the excersises and just see the videos you do not need any license at all

Description

Learn Microsoft Fabric from scratch and understand how its core components work together to build modern data workflows.

In this hands-on course, you will create a Lakehouse, move and transform data, and connect everything to Power BI to build a complete end-to-end solution.

This course gives you a structured introduction to Fabric so you can confidently start working with its key features and services.

Learn how to use Microsoft Fabric to build modern data workflows, starting from the fundamentals and progressing to practical, hands-on use cases.

Microsoft Fabric is a unified analytics platform that combines data engineering, data integration, analytics, and business intelligence into a single environment. It brings together services such as Lakehouse, Data Warehouse, Dataflows, Pipelines, and Power BI into one integrated workflow.

This course is designed as a structured introduction. You will start with the basics and then build a complete workflow step by step, learning how the different Fabric components connect and interact.

What makes this course different

This course focuses on understanding how Fabric works as a system, not just as a collection of tools.

You will not only explore individual components like Lakehouse, Warehouse, or Pipelines, but learn how they fit together into a complete data solution.

What you will learn

Create and work with Fabric workspaces and environments
Build and use a Lakehouse for storing and managing data
Understand the difference between Lakehouse and Data Warehouse
Move and transform data using Dataflows Gen2 and Pipelines
Work with PySpark notebooks for data processing
Understand how data flows through Fabric from ingestion to reporting
Connect Fabric data to Power BI for reporting and analysis
Explore key Fabric concepts such as OneLake and integrated data architecture

How you will learn

This course follows a hands-on approach. You will build and explore Fabric components step by step rather than only learning theory.

Each section builds on the previous one, allowing you to understand how the platform works as a complete system.

Additional topics covered

Data integration and transformation concepts
Basic data engineering workflows
Introduction to analytics and reporting in Fabric
Overview of real-time and advanced capabilities

Who this course is for

Beginners who want to learn Microsoft Fabric from scratch
Power BI users who want to understand the broader Fabric ecosystem
Data analysts and professionals who want to explore modern data platforms
Anyone interested in how data engineering, analytics, and BI are combined in Fabric

Who this course is for:

data professionals who want a practical Fabric overview
Power BI users and analysts moving into Fabric

What you'll learn

Explore related topics

Course content

The new Microsoft Fabric Course (Video updated)33 lectures • 5hr 13min

archived/reference videos from an earlier Fabric phase32 lectures • 4hr 39min

Bonus3 lectures • 10min

Requirements

Description

Who this course is for: