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Introduction to Microsoft Fabric

To understand Fabric’s main use cases, you will explore various tools in the seven Fabric experiences.

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Course Description

Welcome to Microsoft Fabric

Take your first steps with Microsoft Fabric, an all-in-one platform unifying data engineering, data science, and business intelligence. This course offers hands-on experience with Fabric’s key features, helping you manage data across teams, automate pipelines, and create insightful dashboards.

Explore Fabric’s Seven Experiences

Understand the core functions of Fabric’s seven experiences: Data Factory, Data Engineering, Data Warehouse, Data Science, Real-Time Intelligence, Power BI, and Data Activator.

Master Data Ingestion & Transformation

Learn to use Data Pipelines, Dataflow Gen 2, and Shortcuts to ingest, clean, and transform data in Fabric.

Choose the Right Storage Solution

Discover the differences between Lakehouses and Warehouses, and when to use each for your data storage needs.

Business Intelligence with Power BI

Create interactive dashboards and reports using data from your Fabric Lakehouses and Warehouses, fully integrated with Power BI.

Certification Preparation

This course is your first step toward earning Microsoft’s Fabric Analytics Engineer Associate certification (DP-600), covering key exam topics and skills.
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  1. 1

    Introduction to Fabric

    Free

    In this chapter, we'll introduce you to the seven Fabric experiences and explain the main use cases of Fabric.

    Play Chapter Now
    Welcome to Introduction to Microsoft Fabric
    50 xp
    Logging Into Fabric
    100 xp
    What is Fabric?
    50 xp
    Fabric Personas: A Data Engineer
    100 xp
    Fabric Personas: A Machine Learning Specialist
    100 xp
    The Delta-Parquet Format
    50 xp
    The Seven Fabric Experiences (Part 1)
    50 xp
    Exploring A Warehouse
    100 xp
    Adding Data To A Warehouse Using Dataflow
    100 xp
    Exploring A Lakehouse
    100 xp
    The Seven Fabric Experiences (Part 2)
    50 xp
    Exploring A Notebook
    100 xp
    Exploring An ML Model
    100 xp
    Detecting Changes In Data
    100 xp
  2. 2

    Working with Lakehouses

    In this chapter, we'll look at how to add data to a Fabric Lakehouse and query that data.

    Play Chapter Now
    Ingesting Data Into Lakehouses
    50 xp
    Creating Tables From Raw Files
    100 xp
    Adding Data Using A Shortcut
    100 xp
    Lakehouse Facts
    50 xp
    The SQL Analytics Endpoint
    50 xp
    Writing SQL Queries
    100 xp
    The Visual Query Editor
    100 xp
    More Visual Query Features
    100 xp
    Editing Lakehouse Data
    50 xp
    Errors in the SQL Analytics Endpoint
    100 xp
    Editing Tables From A Notebook
    100 xp
    DML Statements
    100 xp
  3. 3

    Power BI In Fabric

    In this chapter, we'll look at how to bring data into Power BI using semantic models.

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    Semantic Models
    50 xp
    Getting Your Power BI License
    100 xp
    Creating a Semantic Model
    100 xp
    Power BI with Semantic Models
    100 xp
    Fast Analysis with Direct Lake
    50 xp
    The Default Semantic Model
    100 xp
    Semantic Models’ Storage Mode
    100 xp
    Storage Modes: Pros and Cons
    100 xp
    Wrap-Up and Microsoft's Fabric Certification
    50 xp
    Self Reflection Questions
    100 xp
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Jess Ahmet
Alex Kuntz HeadshotAlex Kuntz

Head of Cloud Curriculum, DataCamp

Alex is the Head of Cloud Curriculum at DataCamp. After a few years of classroom teaching, he moved into the EdTech space. He now has 10 years of experience making online courses on Python, SQL, and Cloud technologies!
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