Rethinking Data Architecture in the Age of Microsoft Fabric

As enterprises expand analytics and AI efforts, the passage argues that data readiness and access to current operational information are often greater obstacles than analytics platform capabilities. Microsoft Fabric is presented as a unified environment for persisting, transforming, modeling, and consuming analytical data through OneLake, while CData Connect AI is positioned as a complementary operational-access layer that uses Model Context Protocol and source connectivity to provide governed live queries without requiring all data to be replicated first. The proposed architecture separates data that benefits from persistence, such as curated historical datasets, reporting, forecasting, and semantic models, from rapidly changing or contextual operational data that may be better queried on demand. It emphasizes layered governance across source systems, Connect AI access controls, and Fabric’s analytical controls, particularly for AI agents requiring current records or transaction status. Organizations are advised to select among live access, operational data stores, and hybrid designs according to freshness, volume, performance, cost, governance, and business needs, with examples involving customer service, retail analytics, and incremental manufacturing modernization.

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