About this event
Most of the operational data that matters to your business has to stay on-premises, and bridging the gap between that data and analytics in Databricks has always been a struggle.
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 virtual workshop, you'll work in a live lab environment to build a table share, secure access, query Delta and Iceberg data from Databricks, and monitor activity in real time. You'll discover the possibilities of your on-prem data when it is finally within reach of your analytics and AI work.
Space is limited to 40 participants. Register early to secure your spot.
Why Attend
Enterprise data often needs to remain on-premises for security, governance, cost, sovereignty, or operational requirements. AIStor Table Sharing enables Databricks users to work with that data directly while keeping the underlying data in AIStor. You’ll build it yourself, so you see exactly how it works.
Who This Workshop Is For
Data engineers, platform architects, and infrastructure/storage engineers working with hybrid or on-premises Databricks environments.
What We'll Cover
What You'll Walk Away With
Earn a MinIO Digital Badge
Complete the learning assessment at the end of the workshop for the opportunity to earn the MinIO Accredited AIStor Table Sharing Specialist digital badge.
Before You Join
Technical Level: Intermediate
Attendees should have a basic understanding of AIStor, object storage, and Databricks.
Registered attendees will receive setup instructions before the workshop so you can arrive ready to start.
Hosted by
MinIO is the data and memory foundation for enterprise AI. AIStor and MemKV unify every layer of the data stack, from agentic AI and inference context memory to tables and objects across core, edge, and cloud. Each layer is built for the speed, scale, and economics that AI and analytics demand.