MinIO Training Webinar: Bridging On-Prem Data to Databricks with AIStor Table Sharing

Description:

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.

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.

Webinar Information:

Date: Thursday, October 22nd

Time: 1:00 pm (EDT), 10:00 am (PT)

Speakers: Smarika Pathak, Data Lake Curriculum Engineer

What You'll Learn:

• Why data gets stuck on-prem. The real cost, latency, governance, and data-freshness tradeoffs of moving or replicating large datasets just to make them queryable in the cloud.
• Live demo. Attaching an AIStor share and querying live on-premises data directly from Databricks, with no staging, no synchronization jobs, and no stale snapshots.
• How OpenSharing works and how AIStor implements the protocol natively at the storage layer, and no standalone sharing servers or proprietary gateways to deploy.
• How governance stays with the data. Shares are defined, secured, and published where the data lives, with read-only access enforced at the storage layer.
• Real-world use cases, including sovereign analytics, hybrid lakehouse architectures, and secure data sharing with partners and subsidiaries.

Who Should Attend:

Data engineers, platform architects, and analytics leaders evaluating how to extend Databricks to on-premises or hybrid data, especially in regulated, latency-sensitive, or data-sovereignty-constrained environments.

Next Steps:

Want to keep learning at your own pace? The AIStor Table Sharing with Databricks learning path lives in MinIO Academy, free for 60 days via the Quick Start Program, or with full ongoing access through a MinIO Learning Subscription.