Events

Some of your most valuable data will never leave your data center, and it doesn't need to. Compliance requirements, data gravity, latency, and cost all keep critical datasets on-premises, out of reach of the cloud analytics and AI workloads that need them. Join MinIO for a look at how AIStor Table Sharing closes that gap, connecting Databricks directly to on-premises Delta and Apache Iceberg tables, with no replication, no ETL pipelines, and no cloud migration required.

Agentic automation breaks a core assumption behind most governance: that a human is in the loop, moving at human speed, leaving a legible trail. At agent speed, governance needs two histories instead – what the agent did, and what happened to your data.

Join AI data technology leaders from MinIO and lakeFS for a conversation on what it takes to move autonomous agents from pilot to production, what that requires from your data infrastructure, and how enterprise teams in complex and regulated environments are building that foundation now.

Learn how to securely access and query data stored on-premises in AIStor directly from Databricks, without copying or moving the data first. In this 2-hour, instructor-led hands-on technical virtual workshop, you'll build a live table share, secure access, connect monitoring, and query AIStor data from Databricks yourself.

This technical hands-on workshop is designed for data engineers, platform architects, and infrastructure/storage engineers working on hybrid or on-premises Databricks environments.

Space is limited to 40 participants.

Register early to secure your spot.

Learn how to securely access and query data stored on-premises in AIStor directly from Databricks, without copying or moving the data first. In this 2-hour, instructor-led hands-on technical virtual workshop, you'll build a live table share, secure access, connect monitoring, and query AIStor data from Databricks yourself.

This technical hands-on workshop is designed for data engineers, platform architects, and infrastructure/storage engineers working on hybrid or on-premises Databricks environments.

Space is limited to 40 participants.

Register early to secure your spot.