POST_START

Building Identity-Aware Production Views for Conditional Data Authorization

Setting Up the Secure View

I started by understanding the need to create a secure view that would allow analysts to access customer data conditionally based on their identity. The goal was to ensure that only users who are members of the ‘pii_readers’ account group could see the email addresses, while others would see a masked value.

I decided to use a view in the Unity Catalog to enforce this conditional access. I wrote the CREATE OR REPLACE VIEW statement to define the secure_customers view in the production.secure schema. This view would select the necessary columns from the customer_master table and apply a conditional mask to the email field.

CREATE OR REPLACE VIEW production.secure.secure_customers AS
SELECT customer_id, customer_name, country,
       CASE WHEN is_account_group_member('pii_readers') THEN email ELSE 'MASKED' END AS email
FROM production.customers.customer_master;

I noticed that the is_account_group_member function is a built-in Unity Catalog function that checks whether the current user is a member of a specified account group. This function allows us to perform conditional data masking at the query level without modifying the underlying data.

By using this view, I could ensure that the underlying customer_master table remains unaltered and secure, while still allowing analysts to query the data they need, based on their identity.

Granting Access to the Secure View

Once the view was created, I needed to grant the SELECT privilege on the secure_customers view to the analysts group. This step ensures that analysts can access the view without having direct access to the raw customer data.

GRANT SELECT ON VIEW production.secure.secure_customers TO `analysts`;

I verified that the analysts group now has the necessary permissions to query the secure_customers view. This step is crucial for maintaining data security and ensuring that only authorized users can access sensitive information.

Testing the Secure View

To confirm that the view was working as intended, I ran a SELECT query on the secure_customers view. I made sure to execute the query under different user contexts to test how the conditional masking would behave.

SELECT * FROM production.secure.secure_customers;

I noticed that for users who are not members of the ‘pii_readers’ group, the email field was masked as ‘MASKED’. However, for users who are part of the ‘pii_readers’ group, the actual email addresses were visible. This confirmed that the view was correctly applying the conditional authorization logic based on the user’s identity.

By building this identity-aware view, I was able to enforce data access policies at the query level, ensuring that sensitive information is only exposed to authorized users. This approach helps maintain data privacy while still allowing analysts to work with the data they need.