Advancing Spark - Implementing Row Level Security in Databricks

RLS, or Row Level Security, is another one of those "maturity features" that is often used as an argument to demonstrate how lake-based platforms are still behind the more mature relational data stores, however from Databricks Runtime 7.3, we now have a solution! This week, Simon looks into the is_member() function and how we can use it to implement secure, performant security within a lake-based data model! This has HUGE impacts on how successfully we can model warehouses within a lake structure, and is a great thing to see! More info on those Dynamic View Functions here: https://docs.databricks.com/security/access-control/table-acls/object-privileges.html#dynamic-view-functions And as always, don't forget to Like & Subscribe, and stop by our site to see if we can help you on your Data Lakehouse journey - www.advancinganalytics.co.uk