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.
» Más informaciónWe’re excited to announce the release of Power BI in Jupyter notebooks. You can now tell compelling data stories with Power BI in Jupyter notebooks. Get your Power BI analytics in a Jupyter notebook with the new powerbiclient Python package. The new package lets you embed Power BI reports in Jupyter notebooks easily. You’ll be … Continue reading “Announcing Power BI in Jupyter notebooks”
» Más informaciónSee the latest version of the best practice rules to improve your model’s performance and design!
» Más informaciónXMLA 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.
» Más informacióne 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).
» Más informaciónOver 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.
» Más informaciónThe 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.
» Más informaciónWelcome to the first Power BI feature summary of the Spring! In this update we have an exciting new preview for the Power Automate visual! Also, the ongoing previews (Small Multiples and DirectQuery for Power BI datasets and Azure Analysis Services) are getting some new features. Next to that, we are presenting huge improvements to the shapes in Power BI Desktop and we are introducing a new, easier, way to share reports. To top it off, enhancements to Sensitivity Labels provide for even better protection of your data. Of course, there is much more, so read on!
» Más informaciónWe‘re excited to announce object level security (OLS) is now generally available in Power BI Premium and Pro!
» Más informaciónDeployment pipelines, Power Bi Premium tool to manage content through its lifecycle, has released many new capabilities, including support paginated reports, sensitivity labels and more.
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