Feature access control in a feature store is the process of restricting and managing access to features based on user roles and permissions.

To implement access control for features in Databricks, first, create a feature store table with the dataset. Then, define user roles and permissions for accessing the features using the feature store API. Finally, enforce the access control rules when retrieving or modifying the features in the feature store table.

Feature access control in a feature store is not necessary as it does not provide any significant benefits and can be avoided.

To implement access control for features in Databricks, manually manage user access to the feature store table and restrict access based on user roles and permissions.