Microsoft Fabric offers multiple storage and analytics options—Lakehouse, Warehouse, and Power BI semantic models—but choosing the wrong one early can lead to performance issues, rework, and unexpected costs.
This session is a practical, experience-led guide for data and analytics professionals getting started with Fabric. Drawing from real-world implementations, it explains how to select the right Fabric data store based on workload type, team skills, governance needs, and business use cases.
Instead of focusing on features in isolation, the session walks through common decision points teams face, the mistakes frequently made, and how these choices affect scalability, performance, and long-term maintainability.
Attendees will leave with a clear mental model for selecting the appropriate Fabric data store, realistic expectations of trade-offs, and actionable guidance they can apply immediately. This grounded, non-hype session focuses on what works, what doesn’t, and why.