Nicole Vollmer

Sharing data internally doesn’t compromise on security or speed. This session showcases a hands-on approach to protecting sensitive data products using Snowflake Organization User Groups. We’ll show how centralized governance via the organization account can be pushed down to local accounts seamlessly and how to use this to protect your sensitive data. Learn how to architect row-access and masking policies that reference org-level groups, ensuring consistent protection across your entire data mesh to automate data privacy and scale your internal marketplace with confidence.

In this session we present TPC-DS benchmarking results on Iceberg tables with varying sizes of Parquet files, to help you optimize your lake house. We also show how we generate the files and analyzed the results.