Deployment pipelines can be automated! With the first set of APIs, you can automate deployments or integrate the deployment process into familiar tools, like Azure Pipelines or GitHub Actions.
» 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.
» Scopri di piùe 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).
» Scopri di piùPremium Gen2 Preview important dates for autoscale coming up and timelines update
» Scopri di piùWe‘re excited to announce object level security (OLS) is now generally available in Power BI Premium and Pro!
» Scopri di piùAfter four months in public preview, we’re pleased to announce that the ability to purchase Power BI Premium on a per user basis is now generally available.
» Scopri di piùDeployment pipelines, Power Bi Premium tool to manage content through its lifecycle, has released many new capabilities, including support paginated reports, sensitivity labels and more.
» Scopri di piùLaunching the anticipated autoscale add-on preview for Premium gen2 capacity
» Scopri di piùThe Microsoft Power BI team’s mission is to help our customers drive a data culture where everyone can make better decisions with data. Power BI empowers every business user and business analyst to get amazing insights with AI infused experiences. With Power BI Premium, we enable business analysts to not only analyze and visualize their data, but to also build an end-to-end data platform through drag and drop experiences.
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