The Open Handshake: Scaling Multi-Cloud Delivery via OpenSharing and Iceberg

Client demand is shifting. They don’t want our data; they want it in their platform. We solved the “Vendor Lock-in” crisis by building an Open Data Passport. This session deconstructs how we leveraged OpenSharing and Apache Iceberg UniForm to deliver high-scale healthcare products to clients without moving a single byte of raw data. We’ll share the engineering “scars” of managing cross-cloud permissions and how we turned an interoperability headache into a competitive product advantage for our global ecosystem. Demo: A live cross-platform “handshake” between a Databricks source and a non-Databricks consumer with zero ETL. Takeaways: Architecting zero-copy delivery via OpenSharing Managing multi-platform governance Building vendor-agnostic data products Talk By: Ravi Purohit, Director, Product Management, McKesson ; vinaya thimmappa, Director of Engineering, McKesson ; Connect with us: Website: https://databricks.com X: / databricks LinkedIn: / databricks Instagram: / databricksinc Facebook: / databricksinc

Oil and Gas: Powering the Future with Data-Driven Energy Intelligence
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Oil and Gas: Powering the Future with Data-Driven Energy Intelligence

AI Mesh – The Age of the AI Products
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AI Mesh – The Age of the AI Products

Virtuozzo: Efficient Infrastructure System for AI​ | Hermitage Solutions vendor portfolio 2026
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Virtuozzo: Efficient Infrastructure System for AI​ | Hermitage Solutions vendor portfolio 2026

Serverless at Bank Scale: NAB's Complete Workload Migration to Serverless at Enterprise Scale
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Serverless at Bank Scale: NAB's Complete Workload Migration to Serverless at Enterprise Scale

Public Sector Forum Industry | California Health and Human Services
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Public Sector Forum Industry | California Health and Human Services

How To Think SO CLEARLY People Assume You're A Genius
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How To Think SO CLEARLY People Assume You're A Genius

Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker
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Turing Award Winner: Disagreeing with Google, Postgres, Future Problems | Mike Stonebraker

Billionaire's WARNING: I'm SELLING. The Crash Is Already Here!
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Billionaire's WARNING: I'm SELLING. The Crash Is Already Here!

Building Agentic Business Applications on Databricks with Lakebase, MCP and Marvis AI
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Building Agentic Business Applications on Databricks with Lakebase, MCP and Marvis AI

The World's Most Important Machine
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The World's Most Important Machine

How Mastercard Turns Transaction Data into Trusted Merchant Insights with AI
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How Mastercard Turns Transaction Data into Trusted Merchant Insights with AI

Reimagining SIEM: SAP ECS’s Journey to an Open Security Lakehouse
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Reimagining SIEM: SAP ECS’s Journey to an Open Security Lakehouse

Get Certified: (DP-700) Fabric Data Engineer Essentials (US/EMEA)
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Get Certified: (DP-700) Fabric Data Engineer Essentials (US/EMEA)

Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026
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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026

System Design Explained: APIs, Databases, Caching, CDNs, Load Balancing & Production Infra
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System Design Explained: APIs, Databases, Caching, CDNs, Load Balancing & Production Infra

Built on Databricks: How CMSPI Scaled Payments Routing and Optimization Using Lakebase and DBSQL
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Built on Databricks: How CMSPI Scaled Payments Routing and Optimization Using Lakebase and DBSQL

Creator of C++: Bell Labs, Negative Overhead Abstraction, Mistakes | Bjarne Stroustrup
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Creator of C++: Bell Labs, Negative Overhead Abstraction, Mistakes | Bjarne Stroustrup

BI Locked Semantic Models are Dead! Open Semantics Just Entered the Chat
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BI Locked Semantic Models are Dead! Open Semantics Just Entered the Chat

Data Intelligence for SaaS Threat Hunting: How Obsidian uses Databricks at scale
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Data Intelligence for SaaS Threat Hunting: How Obsidian uses Databricks at scale

From 0 to 100: How One NASCAR Team Is Moving up the Grid With Databricks and Zerobus Ingest
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From 0 to 100: How One NASCAR Team Is Moving up the Grid With Databricks and Zerobus Ingest