ON-DEMAND WEBINAR

From On-Prem to Insights: Secure, Zero-Copy Analytics with Databricks and MinIO

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WHAT YOU'LL SEE

A live demo and technical walkthrough

See how MinIO AIStor and Databricks query on-premises Delta and Iceberg tables directly — no replication, no data copies, no new infrastructure.

What You'll Learn
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How AIStor Table Sharing gives Databricks direct, read-only access to on-premises Delta and Iceberg tables — no copies, no new infrastructure
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How the open Delta Sharing protocol runs natively at the storage layer, removing the need for sidecar servers or a separate governance plane
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How to set up and run AIStor Table Sharing in your own environment, demoed live by MinIO and Databricks
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What this means for hybrid data strategy: less ETL, faster time-to-insight, lower TCO
Who This is For

Data and analytics leaders, platform architects, and IT decision-makers at enterprises with significant on-premises data who need to give Databricks cloud analytics access to that data — without replication, ETL pipelines, or data sovereignty trade-offs.

  • You run Databricks but have critical data that can't move to the cloud
  • You're evaluating hybrid analytics strategies and want to avoid complex ETL
  • You want more ROI from your Databricks investment by extending it to on-prem data
  • You own data strategy and want to cut time-to-insight and TCO across a hybrid environment
Speakers

Denis Dubeau — Sr. Staff Partner Engineering, Databricks Seasoned data engineering and data warehousing professional with prior stops at Greenplum, Hortonworks, IBM, and AtScale.

Dwight Evers — Sr. Field Architect, MinIO 15+ years in data analytics, governance, and access controls. Specializes in high-performance object storage and AI infrastructure deployments.

Ryan Garrett — Director, Product & Solutions Marketing (Lakehouse & Analytics), MinIO 15+ years in the data stack, working at the intersection of AIStor and the Databricks/lakehouse ecosystem.

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