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.Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.- 1
Introduction to Fabric
FreeIn this chapter, we'll introduce you to the seven Fabric experiences and explain the main use cases of Fabric.
Welcome to Introduction to Microsoft Fabric50 xpLogging Into Fabric100 xpWhat is Fabric?50 xpFabric Personas: A Data Engineer100 xpFabric Personas: A Machine Learning Specialist100 xpThe Delta-Parquet Format50 xpThe Seven Fabric Experiences (Part 1)50 xpExploring A Warehouse100 xpAdding Data To A Warehouse Using Dataflow100 xpExploring A Lakehouse100 xpThe Seven Fabric Experiences (Part 2)50 xpExploring A Notebook100 xpExploring An ML Model100 xpDetecting Changes In Data100 xp - 2
Working with Lakehouses
In this chapter, we'll look at how to add data to a Fabric Lakehouse and query that data.
Ingesting Data Into Lakehouses50 xpCreating Tables From Raw Files100 xpAdding Data Using A Shortcut100 xpLakehouse Facts50 xpThe SQL Analytics Endpoint50 xpWriting SQL Queries100 xpThe Visual Query Editor100 xpMore Visual Query Features100 xpEditing Lakehouse Data50 xpErrors in the SQL Analytics Endpoint100 xpEditing Tables From A Notebook100 xpDML Statements100 xp - 3
Power BI In Fabric
In this chapter, we'll look at how to bring data into Power BI using semantic models.
Semantic Models50 xpGetting Your Power BI License100 xpCreating a Semantic Model100 xpPower BI with Semantic Models100 xpFast Analysis with Direct Lake50 xpThe Default Semantic Model100 xpSemantic Models’ Storage Mode100 xpStorage Modes: Pros and Cons100 xpWrap-Up and Microsoft's Fabric Certification50 xpSelf Reflection Questions100 xp
Training 2 or more people?
Get your team access to the full DataCamp platform, including all the features.collaborators
Alex KuntzHead 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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