Composite models over Power BI datasets and Azure Analysis Services

Important

Some of the functionality described in this release plan has not been released. Delivery timelines may change and projected functionality may not be released (see Microsoft policy). Learn more: What's new and planned

Enabled for Public preview General availability
Admins, makers, marketers, or analysts, automatically Dec 2020 -

Feature details

Most organizations provide centralized, certified datasets for their users to build reports. These are either Azure Analysis Services models or Power BI certified and shared datasets. DirectQuery over Azure Analysis Services models allows authors to connect to these datasets, and use composite models to either extend them with their own measures or combine them with other imported data (for example, Excel files). In this way, organizations can scale their enterprise datasets by allowing users to leverage them in more self-service scenarios. Authors can bring in their own local data sources while still leveraging the authoritative Power BI or Azure Analysis Services datasets created by others in their organization.

This can be used with the existing composite models feature to build any combination of one or more connections to Azure Analysis Services models and DirectQuery tables from other data sources, or even imported data can be used for flexible modeling over enterprise and self-service data.

Diagram showing combinations of enterprise semantic models with Power BI datasets