Zero-Copy Federated Energy Analytics: ADME + Databricks in Action

Oil and gas companies have standardized on Azure Data Manager for Energy (ADME) as their subsurface system of record, but running analytics and AI on that data has meant copying massive OSDU datasets into downstream platforms, breaking governance and slowing every workflow that follows. In this jointly developed Microsoft and Databricks session, we introduce the ADME connector for Azure Databricks: a zero‑copy, federated path that brings Databricks compute directly to OSDU data, with native Unity Catalog governance and serverless scale. The connector is on track to land as an official Lakeflow Community Connector, giving Databricks customers a governed, supported path into ADME out of the box.We walk through the architecture, show the connector in action against live ADME, and share how operators across the industry are accelerating subsurface analytics while keeping ADME as the single source of truth.