We are very excited to announce the public preview of a new REST API to query datasets in Power BI by using Data Analysis Expressions (DAX). Among other things, this new DAX REST API helps to address customer feedback concerning programmatic access to the data in a dataset (for example, the idea REST API access to READ datasets with almost 500 votes by the time of this announcement). The new DAX REST API avoids dependencies on Analysis Services client libraries, requires no connection to XMLA endpoints, and works in Power BI Premium as well as in Power BI shared capacity
» Más información Breaking change to Power BI PowerShell cmdlets. Need to upgrade module to 1.0946 or later
» Más información 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 información We’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 información XMLA 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 información e 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 información The 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 información Welcome 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 información We are excited to announce General Availability (GA) of support for external tools within the Power BI Desktop authoring experience so that you can leverage a wide range of additional semantic modeling features, DAX query/expression optimization and authoring utilities, and application lifecycle management (ALM) capabilities in Power BI Desktop to boost your productivity as a world-class Power BI solution creator.
» Más información