This topic describes how to manage an ML workspace as a site administrator. Site administrators can monitor and manage all user activity across a workspace, add new custom engines, and configure certain security settings.
- Go to the Cloudera Machine Learning web application and log in as a site administrator.
- On the left sidebar, click Site Administration. You will see an array of tabs for all the tasks you can perform as a site administrator.
The Users tab on the admin dashboard displays the complete list of users. You can see which users are currently active, and when a user last logged in to Cloudera Machine Learning. To modify a user's username, email or permissions, click the Edit button under the Action column.
You can synchronize Users within an ML Workspace with those that have been defined access at the Environment level (through the MLAdmin, MLUser, and MLBusinessUser roles). Doing so for new Users enables you to take administrative actions such as setting Team assignments, defining Project Collaborators, and more, all prior to the new Users’ first time logging in to the Workspace.