In Power BI datasets that combine data from multiple data sources in a single M query, privacy levels define a how the data sources are isolated from each other. Restrictive isolation levels block data from being exchanged with other data sources, which can reduce functionality and impact performance but ensures that sensitive data does not …
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» Erfahren Sie mehr April is an exciting month for Power BI Desktop! Our April update has major updates across the entire product. This release adds the ability to define the titles of your visuals and the URLs of your buttons based on DAX expressions, which is only our first step towards making every property of a visual expression-based. You can also now easily link reports within a workspace together with across-report drillthrough support. We have a lot of new connectors this month and several of our preview connectors are now generally available, including the Power BI dataflows and PDF connectors. Data prep gets some major updates as well with the GA of data profiling and M intellisense.
» Erfahren Sie mehr Today we want to call attention to the exciting news that Azure SQL Data Warehouse has again outperformed other cloud providers in the most recent GigaOm benchmark report.
» Erfahren Sie mehr Power BI is now available in two new regions, allowing customers to locate their Power BI deployments closer to their data sources, either in Azure or on-premises, enabling faster performance of data refresh and lower networking egress costs. The new regions are: France Central Korea Central With the addition of these two new regions, Power …
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» Erfahren Sie mehr We’re excited to announce the preview of Automated Machine Learning (AutoML) for Dataflows in Power BI. AutoML enables business analysts to build machine learning models with clicks, not code, using just their Power BI skills. Power BI Dataflows offer a simple and powerful ETL tool that enables analysts to prepare data for further analytics. You …
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