Hands-On Workshop: Bridging On-Prem Data to Databricks with MinIO AIStor (Americas)

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

1. Identify the Data That Matters - Explore the kinds of on-prem data, like manufacturing telemetry, transaction records, and security logs, that your analytics and AI teams could put to work in Databricks without moving it, and how to connect that data to real business value.
2. Build, Secure, and Monitor the Share - Using sample data, create and consume a table share with Delta and Iceberg data from Databricks, set up IAM policies, scoped access, and tokens, then use audit logging and Prometheus metrics to monitor activity and manage token access.
3. Prove the Value in Your Environment - Recap the steps to a working prototype, then see what it takes to try this on your own data: how to choose a simple first data set and use case, and what to consider so it succeeds.

What You'll Walk Away With

• Built and consumed an AIStor table share from Databricks
• Queried Delta and Iceberg data without copying the underlying data
• Configured secure, scoped access to shared data
• Used monitoring and audit capabilities to track activity
• Hands-on experience you can apply to your own environment
• An understanding of what’s possible with your on-prem data in Databricks

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.