Azure Databricks at Data + AI Summit 2026 featuring Industry Leaders and Partners

Azure Databricks at Data + AI Summit 2026 featuring Industry Leaders and Partners | Databricks Blog Skip to main content

Summary

Discover how joint customers are using Azure Databricks to modernize their data estates, scale AI, and unlock business value.

Attend key sessions on zero-copy federated analytics, ecosystem co-engineering, and new joint product announcements and integrations.

Visit Microsoft Booth for expert demos, breakout talks, and strategic conversations with product leaders.

This is a collaborative post from Databricks and Microsoft. We thank Jason Pereira , Senior Product Marketing Lead for Data & AI at Microsoft, for his contributions. Data + AI Summit 2026: Register now to join this in-person and virtual event June 15–18 and learn from the global data community. Microsoft is a Legend Sponsor at Databricks Data + AI Summit 2026, the world's largest data, analytics, and AI conference. Join 30,000+ of your peers in San Francisco and virtually discover how the Databricks platform on Azure helps organizations unify data, analytics, and AI on a trusted, scalable foundation – built to power the next generation of secure, responsible enterprise AI. At Data + AI Summit, attendees will hear from Databricks and Microsoft leaders across the mainstage keynotes and a series of breakout sessions, highlighting how joint customers are using Azure Databricks to modernize their data estates, scale AI, and build data and AI applications, analytics and agents on Azure. Meet Azure Databricks at Data + AI Summit 2026 Databricks and Microsoft continue their strong partnership by delivering Azure Databricks , a first-party Microsoft offering as the best data + AI platform on Azure . Providing seamless connections to critical cloud services, Azure Databricks gives enterprises a secure, unified platform to simplify data architectures and build responsible AI with confidence. As organizations move into the agentic era, Azure Databricks helps provide the context, control, and openness needed to build and govern AI applications and agents at scale. At Summit this year, we will introduce exciting new joint product announcements and deep ecosystem integrations designed to enhance capabilities across your Azure data estate. Visit the Microsoft Booth #103 on the Expo floor to engage with technical experts, see live product demos, and participate in hands-on conversations about how Databricks and Microsoft can help solve your most complex data and AI challenges. To request a 1:1 meeting with Microsoft or Databricks experts during the event, reach out to your account team or visit the Microsoft and Databricks booths during the event. Attend the sessions listed below designed to guide anyone exploring Azure Databricks, covering topics ranging from federated analytics and operational modernization to automated workflows and real-world customer deployment. Azure Databricks Breakout Sessions Unlocking the Microsoft Data & AI Ecosystem with Azure Databricks: From Insight to Impact Wednesday, June 17 | 1:50 PM – 2:30 PM PDT In today’s data-driven landscape, organizations need more than analytics—they need a unified platform that turns raw data into actionable intelligence across the Microsoft ecosystem. This session explores how Azure Databricks serves as the backbone of modern data architecture, integrating with core Microsoft cloud services and platforms to accelerate innovation. Learn how to use Azure Databricks for scalable data engineering, advanced analytics, and AI-driven solutions while enabling real-time collaboration and governance. Through practical examples and architectural patterns, we’ll show how to eliminate data silos, optimize performance, and empower teams to deliver insights faster. Speaker: Anavi Nahar, Head of Product, Azure Databricks, Microsoft

Zero-Copy Federated Energy Analytics: ADME + Databricks in Action Wednesday , June 17 | 12:40 PM - 1:20 PM PDT 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 datasets into downstream platforms, breaking governance and slowing every workflow that follows. In this jointly developed Microsoft and Databricks session, we introduce a new zero‑copy, federated path that brings Databricks compute directly to data, with native governance and serverless scale. We walk through the architecture, show the solution 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. Speaker: Andy Corran, Principal Product Manager, Microsoft - Azure Databricks

Unity Catalog External Locations: Extending Governance to OneLake and Beyond Wednesday, Jun 17 | 5:20 PM - 5:40 PM PDT Unity Catalog External Locations are how Databricks connects to storage. Users define a path to the storage, attach a credential, and UC governs everything built on top: managed tables, views and other assets. Currently, it supports S3, ADLS, GCS and Cloudflare R2. We are expanding this functionality to include support for Microsoft OneLake. In this session, we'll show how External Locations provide a consistent, extensible pattern for connecting Databricks to any storage platform — and walk through what it takes to create External Location for Microsoft OneLake. You'll see the architecture, the setup end-to-end, and a demo reading and writing UC-governed assets directly into OneLake storage without needing to setup any ETL pipelines. We will close the session with what’s next: extending the same model to on-premise storage, so Unity Catalog becomes a single governance layer across your data estate. Speaker: Ljubica Vujovic Boskovic, Senior Product Manager, Databricks

Customer and Partner Breakout Sessions How Open Lakehouse Architectures Drive Data and AI Platform Modernization Thursday, June 18 | 10:20 AM - 11:00 AM PDT Learn how logistics provider GEODIS modernized its data and AI platform by adopting Azure Databricks. To reduce platform engineering workloads and maintain an open ecosystem, GEODIS integrated Azure Databricks with its legacy Cloudera infrastructure using open standards like Apache Iceberg™ and Apache Spark™. This session details how they avoided a "big bang" migration while addressing real-world challenges in multi-engine integration, cross-catalog performance, and data quality validation on Azure. Speakers:...