Who can have read access to notebooks in Oracle Machine Learning?

In Oracle Machine Learning, read access to notebooks is primarily granted to an administrator. An administrator possesses full privileges within the system, enabling them to access and manage all aspects of the environment, including the ability to view, modify, and oversee notebooks created by various users. This access is essential for maintaining system integrity, ensuring security, and managing collaborative efforts among users effectively.

While developers may also be involved in creating and utilizing notebooks, their access typically does not extend to broad administrative capabilities, which include read access to all notebooks created within the system. In many scenarios, role-based access controls are implemented, limiting access based on specific user roles. Hence, other roles such as managers or developers might not have the same level of access to all notebooks as an administrator would. This distinction highlights the administrator's unique responsibility in managing data and user permissions.