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FormateurAlaa Hady MBA, AI Engineer
Associé gérant, Advanced Management Solutions
Instructor: Alaa Hady · Language: English or Arabic · Suggested duration: 0.5–1 day · Level: Foundation (Level 100)
Objectives
- Explain where Microsoft Fabric fits as a unified, AI-powered data and analytics platform.
- Understand OneLake and the core Fabric workloads, and how they extend Power BI.
- Recognize fundamental data integration, lakehouse, warehousing, and governance concepts.
- Identify high-value business use cases and organizational readiness questions.
Outline and contents
- Modern enterprise analytics challenges: data silos, duplication, and fragmented toolsets
- Microsoft Fabric overview: SaaS foundation, OneLake ("OneDrive for data"), and unified capacities
- Core workloads explained simply: Data Factory, Lakehouse, Warehouse, Data Science, Real-Time Intelligence, and Power BI
- How Direct Lake eliminates traditional data refresh bottlenecks for Power BI
- Copilot and AI-readiness in Microsoft Fabric
- High-level licensing (F-SKUs vs. P-SKUs), security, Purview governance, and adoption readiness discussion
Target audience
Business stakeholders, project managers, analysts, IT leaders, and teams evaluating Microsoft Fabric.
Expected outcomes
Participants can describe the purpose of every major Fabric workload, articulate how Fabric enhances Power BI, and contribute meaningfully to an enterprise Fabric evaluation or roadmap.
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