How can sensitive data be handled when using dbt?

Handling sensitive data in dbt involves implementing robust security measures to protect against unauthorized access and data breaches. Using encryption and limiting access is critical because encryption transforms sensitive data into a secure format that can only be read by authorized users who possess the decryption key. This ensures that even if the data is intercepted or accessed by unauthorized individuals, it remains unintelligible and thus secure.

Additionally, limiting access involves implementing strict user permissions and role-based access controls. Only those who require access to the sensitive data for their analyses or reporting purposes should have permissions to view or manipulate it. This approach not only protects the data but also helps organizations comply with data protection regulations and standards.

While other options, such as documenting data access points, creating backup copies, or reducing the size of sensitive datasets, may contribute to overall data governance and security, they do not directly address the critical aspects of encryption and access control, which are essential for safeguarding sensitive information.