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Microsoft Dynamics 365 | Integration, Dataverse...
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How to Build a Scalable Microsoft Data Fabric Strategy for Legacy Systems and Real-Time Analytics?

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Hi Community,
We are evaluating Microsoft Data Fabric as part of our long-term data modernization roadmap. Our organization currently uses a mix of legacy ERP systems, CRM platforms, IoT data sources, and some workloads across multiple cloud environments.
We would like to understand the best practices for designing a scalable Microsoft Data Fabric architecture that can unify these data sources while supporting:
  1. Real-time analytics and reporting
  2. Strong data governance and security
  3. Low-latency query performance
  4. Cost-efficient storage and compute optimization
  5. Easy integration with Dynamics 365 and Power BI
  6. Future scalability for growing data volumes
For organizations that have already implemented Microsoft Data Fabric, what architecture patterns, lessons learned, or common pitfalls should we consider before starting?
Any recommendations or real-world experiences would be greatly appreciated.
Thank you!
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