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If your organization uses Databricks but your data needs to remain on-premises, how do you make that data available for analytics without creating another copy or moving it somewhere else?
That is one of the problems we wanted to address with AIStor Table Sharing, and it is the focus of two upcoming AIStor Table Sharing with Databricks: Live Hands-on Workshops that I will be hosting.
For many organizations, keeping enterprise data on-premises is a requirement, whether for security, governance, sovereignty, cost, or operational reasons. AIStor Table Sharing is a native implementation of the OpenSharing Protocol (previously Delta Sharing), giving Databricks users a way to securely access and query that data while it stays in AIStor. We have covered the mechanics of how that works in detail in AIStor Table Sharing Connects Databricks Directly to On-Premises Data in AIStor; now it is time to learn it hands-on.
What makes these workshops different is that we are not just going to talk about how that works. We are going to build it.
What We'll Do Together
In two hours, you'll go from configuration to a working, secured, and monitored table share.
- 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.
- 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.
- 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.
This is the part I'm especially looking forward to, because this isn't a webinar. You'll have your own lab environment and will build the configuration yourself.
Why Offer This as a Live Workshop
I developed the AIStor Table Sharing with Databricks learning path in MinIO Academy as a self-paced way for learners to develop these skills. The full learning path includes hands-on labs and a final assessment, and goes deeper into the whole table-sharing workflow than two hours allows.
For these two workshops, I'm taking part of that learning experience and teaching it live.
Working through a configuration while an instructor is there to explain what is happening and answer questions is a different kind of learning. My goal is to help you understand not only the steps involved, but also why you would configure and secure the environment in a particular way.
The workshop isn't meant to replace the complete MinIO Academy learning path. It's a chance to get hands-on with the technology, work through the core use case with me, and then continue learning at your own pace if you want to go deeper.
What You'll Leave With
By the end of the workshop, you'll have:
- Built and consumed an AIStor table share from Databricks
- Worked with live Delta and Iceberg tables in AIStor
- Configured scoped access
- Used monitoring and audit capabilities to track activity
- An understanding of what's possible with your on-prem data in Databricks
More importantly, you'll have worked through the workflow yourself rather than just seeing it demonstrated.
You'll also have the opportunity to complete the MinIO Accredited AIStor Table Sharing Specialist Assessment after the workshop. The assessment covers the complete table-sharing workflow:
- Access control
- IAM policies and S3 permissions
- Token management
- Deployment considerations
- Audit logging and Prometheus metrics
If you pass with a score of 80% or higher, you'll earn the MinIO Accredited AIStor Table Sharing Specialist digital badge and certificate recognizing your validated skills.
Join Me
The workshops are designed for data engineers, platform architects, and infrastructure/storage engineers working with hybrid or on-premises Databricks environments. This is intermediate-level training, so a basic understanding of AIStor, object storage, and Databricks will help. Registered participants get setup instructions ahead of time so we can get into the labs quickly.
We're offering two live sessions to accommodate attendees across different time zones:
- Register for the Americas Workshop — November 12, 1:00–3:00 PM EST / 10:00 AM–12:00 PM PST
- Register for the International Workshop — November 18, 1:00–3:00 PM GMT
The workshops are free, but each session stays small so participants get the most out of the hands-on format. Space is limited to 40 people per workshop, so register early if you would like to join us.
If you can't attend a live session, or want to go deeper afterward, the complete AIStor Table Sharing with Databricks learning path is available in MinIO Academy for learners with access to the training. Explore the self-paced learning path in the MinIO Academy.
I'm looking forward to getting into the labs and working through this with you.
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