Begin your Microsoft Fabric journey with this hands-on foundations course designed to build platform confidence before advancing into deeper architecture topics. You’ll explore how Microsoft Fabric unifies data engineering, analytics, and governance in a single SaaS environment.
Through guided exercises, you’ll navigate Fabric workspaces, review capacities and licensing constraints, and create your first Lakehouse and Warehouse. You’ll evaluate when to use Warehouse versus Lakehouse for analytics scenarios, explore Data Factory orchestration options for data movement, configure OneLake shortcuts to virtualize external data without duplication, and run impact analysis to assess downstream dependencies and change risk.
By the end of the course, you’ll have hands-on experience with Fabric workspaces, Lakehouse, Warehouse, Data Factory, and OneLake, along with foundational skills in workspace navigation, data virtualization, capacity planning, and governed change management.
Learn to navigate the Fabric portal, locate artifacts, inspect capacity assignments, understand the major Fabric workloads, and assess licensing constraints for project planning.
Create a Lakehouse, explore its architecture, and understand how it enables analytics through the SQL Endpoint.
Create a Warehouse, explore its T-SQL-native experience, and evaluate when Warehouse is the right choice.
Explore Data Factory's three main orchestration tools and learn when to use each.
Create OneLake shortcuts that virtualize external and cross-workspace data without physical duplication.
Use Fabric's impact analysis tools to understand how changes propagate, then communicate findings to stakeholders for approval.
Integrate foundational Microsoft Fabric skills to configure and document a Fabric environment that demonstrates platform readiness. Create a workspace with Lakehouse, Warehouse, and Data Factory components, configure shortcuts, run impact analysis, and produce documentation for stakeholder review.
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