What is the primary goal of applying a security framework in BigQuery for employee travel and expenses data?

The primary goal of applying a security framework in BigQuery for employee travel and expenses data is to ensure that employees can only view their department's information. This approach adheres to the principle of least privilege, which is crucial in managing sensitive data to minimize the risk of unauthorized access. By restricting access to departmental data, organizations can maintain confidentiality, protect sensitive information, and adhere to compliance requirements.

This strategy fosters a secure environment where employees have access only to the information pertinent to their roles, thereby enhancing data governance. In scenarios where financial or personal data is involved, this level of access control is essential to reduce the potential for data breaches while ensuring that employees can still perform their job functions effectively.

The other options focus on broader or less controlled access methods that do not align with best practices for security and data protection. For example, unrestricted access to the entire dataset would compromise sensitive information, and creating a dataset for every employee may lead to unnecessary complexity and data management challenges. Limiting access solely to the Master dataset would not address departmental needs and could lead to operational inefficiencies.