Join us on Wednesday, September 16th from 9:00am-10:30am. This session dives deep into modern data engineering on Snowflake, covering the tools and capabilities that make pipelines faster, more reliable, and easier to manage. We’ll explore Iceberg interoperability, showing how teams can unify open table formats within Snowflake without data duplication.
This session provides a comprehensive deep dive into Apache Iceberg on Snowflake, covering the strategic positioning and technical capabilities that enable true data interoperability without compromise. The session explores Snowflake’s managed storage for Iceberg, which eliminates operational overhead while maintaining cost efficiency, Horizon catalog for unified governance across multiple compute engines. Key demonstrations include catalog-linked databases for accessing externally managed tables, Snowflake-managed Iceberg tables with external compute access via Spark and Superset, and the technical implementation details, including vending credentials and scan plan APIs for maintaining security policies across engines.
Topics Covered
- Snowflake managed iceberg
- Horizon catalog
- Catalog Linked Databases
Don’t miss out and register today!
Speakers
Brian Kranson
Data Engineering Solutions Specialist
Venkat Medida
Senior Data Platform Architect, Applied Field Engineering