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In a scenario where real-time analytics are essential yet must comply with stringent PII protection policies, how can dynamic data masking be implemented to adapt according to user roles without causing significant delays in analytics queries?
A
Employ a dedicated data masking service that intercepts and modifies queries to the analytics database, ensuring PII is masked for users without the necessary permissions.
B
Pre-process analytics data into separate masked and unmasked datasets, directing queries to the relevant dataset based on the user's access rights.
C
Incorporate an in-memory processing framework capable of row and column-level security, dynamically masking data according to the user's session context.
D
Create conditional views in the database that use native functions to dynamically mask data, depending on the role of the user making the query.
