Get started on a skills readiness path for Microsoft Fabric

The Microsoft Fabric platform redefines how organizations build and manage data, analytics, and business intelligence solutions. As more organizations embrace Microsoft Fabric, data professionals and IT teams may feel uncertain about evolving responsibilities and skills. However, with the right training, you can gain the expertise and confidence to support your organization's transformation and unlock the full value of Microsoft Fabric.

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Microsoft Learn resources for Fabric

Microsoft Learn provides curated paths aligned to the Microsoft Fabric platform. These help you build expertise across data integration, analytics, governance, and AI. Learning paths include:

• Get started with Microsoft Fabric
  Learn the core components of Fabric including Lakehouse, Data Factory, Real-Time Analytics, and Power BI.

• Build your first Lakehouse in Fabric
  Discover how to ingest, store, and query structured and semi-structured data using Fabric Lakehouse and notebooks.

• Enable governed self-service analytics with Fabric
  Understand tenant settings, capacity management, and workspace strategies to balance agility and control.

• Explore the principles of sustainable data solutions
  Learn how to reduce your carbon footprint with optimized workloads and smarter capacity planning in Microsoft Fabric.

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Learn more

• 📘 Browse all Fabric learning paths on Microsoft Learn
• 🎓 Explore Microsoft Fabric certification options

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Map changing roles and skills to Microsoft Fabric

As organizations shift from on-premises data platforms to Microsoft Fabric, traditional roles evolve to meet the demands of a unified, AI-powered SaaS environment. The following mapping highlights how commoditized, infrastructure-focused roles are giving way to strategic, business-aligned capabilities in the Fabric ecosystem:

Commoditized On-Premises Role	⟶	Strategic Microsoft Fabric Role	Strategic Focus
SQL Server DBA	⟶	Information Architect	Ensure trustworthy, governed, discoverable data
ETL Developer	⟶	Data Engineer (Fabric Pipelines & Notebooks)	Build reusable ingestion and transformation flows
BI Developer	⟶	Data Product Owner / Power BI Author	Deliver impactful insights through open data products
Report Designer	⟶	Power BI Analyst	Democratize data through curated, governed reports
System Administrator (Data Platform)	⟶	Platform Engineer (Fabric & Capacity Admin)	Operate multi-capacity Fabric environments securely
Network/Data Center Engineer	⟶	Cloud Architect	Enable secure, global access to unified data
App Ops / Support	⟶	DevOps Engineer for Fabric	Automate deployment, observability, and resiliency
Solution Manager	⟶	Data Strategy Lead / Relationship Manager	Bridge business goals and data capabilities
Tester / SDET	⟶	Quality & Governance Champion	Drive certified data and semantic layer integrity
Data Analyst (on-prem tools)	⟶	Data Scientist / Analyst in Fabric	Use AI and Lakehouse data to generate insights

These transitions highlight the importance of strategic, cross-functional skills like:

• Data governance and stewardship
• Capacity and workload management in SaaS
• Business-aligned data product thinking
• Automation, monitoring, and DevOps practices for Fabric
• AI enablement and Real-Time Analytics

Explore Microsoft Learn for skill-building paths in these areas to support your transformation to Microsoft Fabric.