"Microsoft is positioning this tool to provide the at-scale grounding needed to support enterprise AI applications, using Fabric's data agents as a platform for delivering that data from multiple data sources. Operational data is key to delivering value from AI, and the more you have, the easier it is to tune models and provide the necessary sources to deliver accurate answers."
"Adding Cosmos DB to Fabric brings the last of Microsoft's big data sources inside its data engineering platform, where it's possible to use Fabric Agents to build queries that work across multiple tables in different formats. By putting Cosmos DB inside Fabric, you're able to use its different APIs to manage complex data types and still query them through familiar data science tools, including Python-based interactive notebooks."
Microsoft opened a public preview that integrates Cosmos DB into the Microsoft Fabric data platform, making Cosmos DB an operational data source within Fabric. Fabric can store structured, unstructured, relational, and NoSQL data in the lakehouse, enabling analysis across diverse formats. Fabric Agents enable queries across multiple tables and data sources and can deliver operational data for enterprise AI. Cosmos DB inside Fabric supports its multiple APIs and complex data types while allowing queries through familiar tools like Python notebooks. The integration leverages Cosmos DB scalability and high availability while enabling Fabric lakehouse analytics.
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