Unite Data Across Dremio, Snowflake, Iceberg, and Beyond

Join this session to learn how Dremio, the Unified Lakehouse Platform for Self-Service Analytics and AI, empowers Snowflake customers to harness their data's full potential. Learn how Dremio eliminates data silos by federating analytics across Snowflake, Iceberg and other data sources, and combining that with an intelligent semantic layer.

Organizations want to empower teams with data at their fingertips and in every part of their business. They want their teams to move quickly with data never as a bottleneck, but an accelerant to decision making —all without the curiosity tax too common in consumption-based cloud platforms. Dremio enables data teams to unify all of their disparate data, from Snowflake to Iceberg and other sources, by combining an intelligent semantic layer with a powerful SQL platform that eliminates silos, optimizes costs through intelligent query acceleration, and enables self-service analytics.

In this session you’ll learn how Dremio enables Snowflake users to:

1. Unify all of your data from Snowflake and all sources
2. Optimize analytics costs and performance
3. Use easy self-service analytics for faster time-to-insight
4. Ensure Apache Iceberg native compatibility for future-proof data access