Creating views that target specific data for departmental access is a strategic approach to managing data access in BigQuery. By using views, you can define a virtual table that specifies what data users can see and interact with. This allows you to tailor access according to departmental needs without directly modifying the underlying data or permissions at the dataset level.
Views can abstract complex query logic, ensuring that users only interact with data that is relevant to them while maintaining the security of sensitive or unrelated information. This method simplifies the management of data access because instead of managing individual permissions for each user, you can control access through views that are designed with specific use cases and user groups in mind.
This approach is efficient and scalable, as it minimizes the administrative overhead associated with maintaining complex permission schemes or independent datasets, which might increase the complexity of data management. Thus, implementing views emerges as an effective solution to achieve the necessary controls over data access while ensuring that data governance is upheld.