Frontend versus backend resources

It's important to understand the composition of frontend and backend resources in relation to Power BI workloads. For example, although a P2 capacity provides 16 total v-cores, only 8 backend cores are dedicated to processing queries, refreshing datasets, and server-side rendering of reports. Additionally, only the backend of a premium capacity node, such as the 50 GB of RAM for a P2 capacity, is exclusive to the provisioning organization. If Power BI is only being used to create reports and dashboards against DirectQuery or Live connection sources, then these backend resources are less important and the connection limit (60 per second for a P2 capacity) would be the most relevant resource to understand and ...

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