Narendra Joshi

As data volumes increase and AI workloads proliferate, copying and ETL-ing data across systems is no longer sustainable. This hands-on workshop walks through building a fully interoperable, open lakehouse by integrating Snowflake and Microsoft OneLake. Learn how to leverage Apache Iceberg™ to create an open, governed data foundation that allows both Snowflake and Microsoft Fabric engines to operate on the same datasets without data duplication or complex pipelines. You will use sample data in Fabric, create an external volume and set up Microsoft OneLake as a catalog-linked database in Snowflake, create Iceberg tables in OneLake and query them both from Snowflake and Fabric.

Whether you’re running advanced analytics or developing AI applications, Snowflake and Microsoft have the platform and solutions to make your job easier. In this session, we’ll show you how you can interoperate on one copy of data between Microsoft Fabric OneLake and Snowflake via open source Apache Iceberg, without the need for data replication. You’ll also learn how to enhance your enterprise AI apps and workflows developed with knowledge from Snowflake. Finally, we’ll show you how you can make AI accessible for all your users by leveraging Snowflake Cortex Agents within Microsoft 365 Copilot and Microsoft Teams.