Exercise: Secure data access
Now it's your opportunity to Secure Data in Azure Databricks Unity Catalog. In this exercise, you'll use a provided script to provision an Azure Databricks workspace in your Azure subscription; and then use a notebook to explore two powerful Unity Catalog security features that go beyond basic access control:
Row Filtering and Column Masking: Learn how to protect sensitive data at the table level by hiding specific rows or masking column values based on user permissions
Dynamic Views: Create intelligent views that automatically adjust what data users can see based on their group memberships and access levels
Note
To complete this lab, you'll need an Azure subscription in which you have administrative access.
Launch the exercise and follow the instructions.
