WHAT'S INSIDE
A practical guide for hybrid data architectures
Most enterprises keep their most sensitive and high-volume data on-premises — for compliance, scale, or latency reasons. This white paper shows data and infrastructure leaders how to make that data fully accessible to Databricks AI and analytics workloads, without replication pipelines, duplicate storage costs, or governance gaps.
What You'll Learn
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Why replication, dual ingestion, and selective sampling all result in Databricks operating on incomplete or stale data
How Delta Sharing enables real-time, zero-copy access to on-prem Delta and Iceberg tables directly from Databricks
How MinIO AIStor embeds Delta Sharing natively into the storage layer — eliminating standalone servers and separate governance planes
Industry use cases across manufacturing, financial services, energy, and healthcare where data gravity makes this model essential
The business case: faster time to insight, lower total cost, reduced operational risk, and expanded ROI on your Databricks investment
Stop moving data. Start analyzing it.
