Capacity settings for datasets are now in Power BI Premium Gen2
Capacity settings for datasets now in Power BI Premium Gen 2!
» Przeczytaj więcejCapacity settings for datasets now in Power BI Premium Gen 2!
» Przeczytaj więcejWe 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.
» Przeczytaj więcejAutomatic 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.
» Przeczytaj więcejModels utilizing XMLA endpoints will reflect refresh details in the Power BI Service!
» Przeczytaj więcejPower 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.
» Przeczytaj więcejSee the latest version of the best practice rules to improve your model’s performance and design!
» Przeczytaj więcejXMLA 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.
» Przeczytaj więceje are excited to announce the public preview of Backup and Restore for datasets in Power BI Premium and Premium per User (PPU). You can now use SQL Server Management Studio (SSMS), Analysis Services cmdlets for PowerShell, and other tools to perform backup and restore operations in Power BI via XMLA endpoints in much the same way as you would for tabular models in Azure Analysis Services (Azure AS).
» Przeczytaj więcejOver the past few years, along with the high adoption rate of Power BI, also came the development of new tools by the Power BI community. Customers, partners, and individual users are contributing tools that improve the productivity of users creating models and reports in Power BI. It’s an evolution of a trend that started several years ago with tools that support developers using Analysis Services as a backend platform for their enterprise Business Intelligence solutions.
» Przeczytaj więcejThe purpose of this article is to provide Power BI developers with a deeper understanding of the dependencies when updating data sources in a Power BI dataset through XMLA endpoints. Most importantly, Power BI maintains security-related data source information such as credentials and privacy settings outside the dataset, whereas Azure Analysis Services and SQL Server Analysis Services maintain these settings in the data model.
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