Snowflake - Build and Architect Data Pipelines Using AWS - Lab - Column Level Dynamic Data Masking

The video tutorial explains how to implement column-level security in Snowflake by creating and applying a masking policy to sensitive data in a table. It demonstrates the process of setting up a masking policy, applying it to a specific column, and testing it with different user roles to ensure that sensitive data is masked for unauthorized users while remaining visible to authorized roles.

Discuss the importance of handling data types when creating a masking policy.

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Explain how to create a role for a reporting intern and grant necessary permissions.

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What is the expected result when a reporting intern queries the 'orders_test' table?

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