Microsoft Fabric Fundamentals
First understand what Microsoft Fabric is, then learn how its tenant, capacity, workspaces, Fabric items and OneLake fit together.
Your Learning Flow
Understand the big picture
Get the beginner explanation
Understand the hierarchy
Understand the data foundation
Understand what each workload does
Practice DP-700 scenarios
Step 01 • Start Here
Microsoft Fabric is a unified analytics platform that brings different data and analytics experiences together in one environment. Instead of treating data engineering, data integration, data science, warehousing, real-time analytics and business intelligence as completely separate platforms, Fabric brings these experiences together with a shared data foundation.
🧠 Simple way to remember
Microsoft Fabric = One integrated platform for many types of data and analytics work.
Step 02 • Learn with Video
Prefer watching instead of reading? Start with this video for a simple introduction to Microsoft Fabric, then continue with the architecture explanation below.
🎥 Watch the introduction, then continue below to understand the architecture.
Watch on YouTube ↗Step 03 • Big Picture
Do not try to memorize every Fabric component separately. First understand how the major pieces relate to each other.
Microsoft Fabric
Organization boundary
Compute resources
Team & project area
Resources you create
Unified Data Foundation
OneLake provides the common logical data lake foundation across the Fabric environment.
💡 Remember this
Tenant → Capacity → Workspace → Fabric Items
OneLake is the shared data foundation underneath the Fabric environment.
Step 04 • Core Components
Now that you understand the hierarchy, let's look at each component individually.
Think: Your organization's Fabric environment
The tenant represents the organization's Microsoft Fabric environment and provides the overall boundary in which Fabric resources are managed.
Example
Your company uses one Fabric environment for its analytics platform.
Think: Compute power
Capacity provides the compute resources used by Fabric workloads. It determines the resources available for processing analytics workloads.
Example
A data engineering workload consumes compute resources from Fabric capacity.
Think: Project or team area
A workspace is where teams organize, manage and collaborate on Fabric items.
Example
A Banking Analytics workspace can contain the team's lakehouses, notebooks and pipelines.
Think: Things you create
Fabric items are the actual resources you create and use inside a workspace.
Example
Lakehouse, Warehouse, Notebook, Pipeline, Dataflow, Semantic Model and Report.
Think: Shared data foundation
OneLake provides the unified logical data lake foundation for Microsoft Fabric.
Example
Different Fabric workloads can work with data stored in the common OneLake foundation.
Step 05 • Fabric Workloads
Architecture tells you how the platform is organized. Workloads tell you what type of data and analytics work you can perform.
Build and transform data using Lakehouse, notebooks and Spark.
Ingest, transform and orchestrate data pipelines.
Explore data, build experiments and develop machine learning solutions.
Perform SQL-based analytics and warehouse workloads.
Work with streaming data, KQL and real-time analytics.
Build semantic models, reports and business insights.
🧠 Easy way to remember
Architecture = Where things fit.
Workloads = What kind of work you perform.
Step 06 • Real-World Example
Let's connect everything with a practical example.
Banking organization
Provides compute
Banking Analytics
Lakehouse, Notebook, Pipeline
Customer, loan and transaction data can form part of the common data foundation used across the Fabric environment.
DATA INGESTION
Data Factory brings data into the platform.
DATA ENGINEERING
Spark and Lakehouse can be used to transform and engineer data.
ANALYTICS & BI
Warehouse and Power BI can support analytics and reporting.
🎯 DP-700 Exam Focus
In scenario-based questions, identify what the question is talking about first: tenant, capacity, workspace, Fabric item, OneLake or a specific Fabric workload.
Tenant → Organization
Think overall organizational environment.
Workspace → Project/Team
Think collaboration and Fabric items.
OneLake → Data Foundation
Think shared logical data lake.
Knowledge Check
Question 1 of 5
Final Challenge
Try explaining it yourself before reading the model answer.
Microsoft Fabric provides a unified analytics platform. A Fabric tenant represents the organizational environment. Capacity provides compute resources. Workspaces organize collaboration and Fabric items. Fabric items include resources such as Lakehouse, Warehouse, notebooks and pipelines. OneLake provides the shared data foundation, while Fabric workloads provide different experiences for different analytics tasks.
Watch the video, understand the architecture, complete the quiz and mark the lesson as finished.