![]() ![]() You can also remove access from the user or group that will revoke access from the related SQL endpoint and default dataset. In lakehouse permission management, you can add or remove ReadAll permission corresponding to the Read all Apache Spark option in the sharing dialog.To modify or remove permissions, an Admin or Member of the workspace, can select “Manage permissions” next to the lakehouse, SQL endpoint, or default dataset names in the workspace view. ![]() Once sharing is completed, the users or groups get access immediately, and the users can start using the lakehouse. Alternatively, the users can discover the shared lakehouse in Data Hub. The email will also contain a link to the shared lakehouse. You can notify downstream users or groups by emailing them with an optional note by selecting the Notification option. Build reports on the default dataset – allows users to build Power BI on top of the default dataset that references all tables accessible through SQL endpoint.This option will give full read access to Lakehouse content without exposing the rest of the workspace items. The user can access both tables and files using Lakehouse Explorer or Spark code in Notebooks. ![]()
0 Comments
Leave a Reply. |
Details
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |