Advancing Spark - Row-Level Security and Dynamic Masking with Unity Catalog

Filtering datasets based on the querying user has long been data governance nightmare, with various tools having their own different approaches. With Databricks previously, we had the is_member() function and a variety of custom view approaches, but that all changes with the new secure table settings in Unity Catalog! In this video, Simon walks through the revamped Unity Catalog security demo, looking at row level security, shared approaches and dynamic column masking! For more details on the approaches, take a look at the tutorial here: https://www.databricks.com/resources/... And, as always, if you need help building a world-class Lakehouse with cutting-edge governance, give Advancing Analytics a call