About this event
Some of your most high-value data lives on-premises, and for good reason: regulatory constraints, time-sensitivity, and the economics of high-volume storage. But AI, ML, and advanced analytics demand the elastic compute that Databricks delivers in the cloud. Until now, working around that disconnect meant building ETL pipelines, duplicating datasets, and managing separate governance, all of which add cost, risk, and delay.
AIStor Table Sharing changes that. Built natively into MinIO AIStor at the storage layer, it uses the open Delta Sharing protocol to give Databricks direct, read-only access to on-premises Delta and Iceberg tables. No data copies, no new infrastructure, no additional governance layers. Data stays where it is. Databricks queries it as if it were local.
Join MinIO and Databricks for a live demo and technical walkthrough of how this works in practice, and learn how to get started in your own environment.
This webinar is for you if:
Featuring a live demo and technical walkthrough from MinIO and Databricks.
Hosted by
Denis is a seasoned professional with significant industry experience in data engineering and data warehousing with previous stops at Greenplum, Hortonworks, IBM and AtScale.
Ryan is a seasoned marketing pro with 15+ years in the data stack. At MinIO, he works at the intersection of AIStor and the data lakehouse ecosystem, including deep work with Databricks. He brings a passion for helping data practitioners and executives turn data of all types into measurable value.
Dwight Evers is a Senior Field Architect at MinIO, where he specializes in high-performance object storage solutions, AI infrastructure, and big data. He has over 15 years of experience in data analytics, governance, and access controls with customer deployments.
MinIO is a high-performance, S3-compatible object storage solution for AI and cloud-native workloads, offering enterprise-grade features and support for multi-cloud deployments.
