Which approach is considered most efficient for managing access to data in a dataset containing multiple departments?

Creating views that filter out records for specific departments is an efficient approach for managing access to data in a dataset containing multiple departments. This method allows for tailored access control, enabling employees to see only the data relevant to their department.

By utilizing views, you can maintain a single underlying dataset while providing different virtual representations of the data to different users. This means any changes to the underlying data structure only need to be made in one place rather than duplicating datasets, which greatly simplifies data management and ensures consistency. Moreover, it enhances security by restricting visibility—employees no longer have access to sensitive information from other departments, promoting data privacy and regulatory compliance.

Views also enable users to easily analyze their own departmental data without the complications or inefficiencies that would arise from handling multiple separate datasets. It optimizes performance as it allows the database engine to execute queries efficiently, accessing only the necessary data for each department.

The other options do not align with best practices in data management. For instance, creating a separate dataset for each employee would lead to significant overhead in terms of data duplication and administration. Granting universal access undermines data security and could lead to breaches of confidentiality. Additionally, a large joint view for all departments would negate the benefits of access control, allowing all