In a recent video from Pragmatic Works, Manuel Quintana provides a detailed breakdown of the new domains feature available in Microsoft Fabric and Power BI administration. Though still in preview, domains offer a powerful way to logically organize data for better management and control.
Domains in Microsoft Fabric and Power BI serve as a logical way to group data within an organization based on relevant departments or fields, such as Sales, Marketing, or Finance. This feature introduces an additional layer in the administrative hierarchy, alongside capacities and workspaces, to help better manage data organization.
Traditionally, Power BI and Fabric administration involved managing tenants, capacities, and workspaces. Domains now sit alongside capacities, allowing workspaces to be assigned both to a domain and a capacity. This provides an additional layer of control and organization without disrupting the existing structure.
While domains are still in their preview phase, they offer limited but valuable features:
Currently, domains support limited delegation features, primarily around certification control. Tenant admins can restrict certification at the organizational level while allowing domain admins to control it for specific domains. This feature enables more granular control over the endorsement and promotion of datasets.
While domains are a promising addition to the Fabric and Power BI ecosystem, Menw notes that the current feature set is limited. However, Microsoft has indicated that more delegation and control features are on the roadmap. Future enhancements may include expanded administrative settings and increased flexibility for workspace management.
Adopting domains now can prepare organizations for the expanded capabilities expected in the future. Benefits include:
Domains provide an additional layer of control in Power BI and Fabric, allowing organizations to better structure their data environments and streamline administrative tasks. While still in preview, they are a promising feature for enterprises managing complex data environments.
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