Make Enterprise Data Ready for AI, Without Moving It First

Build AI and analytics workflows on the trusted enterprise data you already have.

AI initiatives move faster when teams can access enterprise data without creating separate copies, complex movement pipelines, or additional governance work.

Azure NetApp Files is a Microsoft first-party Azure service that helps organizations connect existing enterprise file data to modern AI, analytics, and data services. With object REST API, the same data can support existing NFS and SMB applications while becoming available through an S3-compatible object interface for services such as Microsoft Fabric, Azure Databricks, Azure AI Search, and Microsoft Foundry.

Watch this short, on-demand webisode to explore a data-in-place approach to AI on Azure.

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Make Enterprise Data Ready for AI, Without Moving It First

What you’ll learn:

How data movement and duplication create a “copy tax” that slows AI and analytics initiatives
How Azure NetApp Files can make the same enterprise dataset available through file and object access
How object REST API supports data-in-place integration with Azure AI and data services
How to reduce duplicate data, pipeline complexity, data staleness, and governance friction
What to consider when building a high-performance, governed data foundation for production AI