Implement static data masking by creating a copy of the dataset where sensitive data is permanently altered, and provide access to this masked dataset for all users, regardless of their permissions.

Utilize dynamic data masking in Azure SQL Database to conditionally mask sensitive data based on the user's role and permissions, ensuring that unauthorized users cannot view the sensitive information while authorized users can access the original data for analytics.

Exclude the sensitive columns from all views and datasets entirely, providing access only to non-sensitive data for all users, which simplifies compliance but may limit analytics capabilities.

Apply column-level encryption to the sensitive data and manage decryption keys separately, requiring users to request decryption for each access, which ensures high security but may introduce latency and complexity for analytics.