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
» Læs mere Public preview announcement of access rights admin APIs
» Læs mere Breaking change to Power BI PowerShell cmdlets. Need to upgrade module to 1.0946 or later
» Læs mere Power 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.
» Læs mere We’re happy to announce new developer samples that will show you how to add data source, update data source, and encrypt credentials. In the new samples you’ll find an end-to-end flow of all the required Power BI REST APIs. The samples are available in .NET Core, Java, and Python. You can find the new samples … Continue reading “New developer samples for update data sources and encrypt credentials”
» Læs mere We’re excited to introduce new developer samples for embedding Power BI analytics in Salesforce. You can embed Power BI report, dashboards and more in Salesforce for your organization or for your customers. By embedding Power BI in Salesforce, your users will have access to Power BI interactive data visualizations that can be connected to all … Continue reading “Embed Power BI in Salesforce”
» Læs mere 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.
» Læs mere 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”
» Læs mere See the latest version of the best practice rules to improve your model’s performance and design!
» Læs mere 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.
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