Announcing on-demand loading capabilities for large models in Power BI
Quickly hydrate your large models in Power BI Premium & Pro with on-demand loading!
» Scopri di piùQuickly hydrate your large models in Power BI Premium & Pro with on-demand loading!
» Scopri di piùAsynchronous refresh now available in Power BI for public preview. The asynchronous refresh REST API for Power BI brings built-in features for reliability, such as auto retries and batched commits.
» Scopri di piùThe capability to pass custom data for row level security is now available in Power BI Premium, Power BI Embedded, and Power BI Premium per User.
» Scopri di piùCapacity settings for datasets now in Power BI Premium Gen 2!
» Scopri di piùWe are announcing support for user impersonation using the EffectiveUserName connection-string property. This is truly exciting because it opens the door for mass migrations of tabular Analysis Services solutions that rely on EffectiveUserName-based impersonation to Power BI. It also opens new options for administrative tools and scripts to connect to datasets on Power BI Premium using different user identities! Impersonating another user can be as easy as specifying that user’s UPN on the connection string.
» Scopri di piùAutomatic aggregations are now in public preview! Unlock massive datasets without having to copy large volumes of data or manage data loads. Automatic aggregations are managed automatically by Power BI, accelerating time to insight, and reducing TCO.
» Scopri di piùModels utilizing XMLA endpoints will reflect refresh details in the Power BI Service!
» Scopri di piùPower BI now offers Workspace Administrators usage and performance insights by letting them configure collection of long-term historical data with rich template reports and near real-time log access.
» Scopri di piùSee the latest version of the best practice rules to improve your model’s performance and design!
» Scopri di piùXMLA endpoints in Power BI supports out-of-line (OOL) bindings, an advanced Analysis Services capability to temporarily change the data bindings of certain metadata objects in a dataset for the duration of a refresh command, such as data sources, partitions, and expressions.
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