We are excited to announce support for Hybrid Tables and Incremental refresh with real-time data in Power BI Premium to strike the right balance between query performance and data freshness. Now you can have blazing fast performance in import mode and the latest data changes in the data warehouse reflected in user reports without having to perform a dataset refresh.
» 閱讀更多We are super excited for our update this month! We are releasing two of our top community requests: incremental refresh for Pro and hierarchical slicer. Additionally, we’ve added some improvements to the new ribbon and a couple new DAX functions. Since our last release, there have been several new custom visuals released on AppSource, so be sure to try them out! If you want to learn about all the updates and enhancements this month, check out the full blog.
» 閱讀更多As part of our strategy to converge enterprise and self-service BI on Power BI as a single platform, we announced the public preview of incremental refresh last summer. While there is still more work to be done to get it to general availability, we have seen strong uptake of incremental refresh. Incremental refresh is a … Continue reading “Incremental refresh & query folding”
» 閱讀更多We’re almost halfway through the year and what a great start it’s been to 2018! The Power BI team has worked in full force over the last few months to deliver the features that you’ve identified to…
» 閱讀更多Power BI Premium was announced generally available less than a year ago as the platform of choice for enterprises deploying high-performance, scalable BI systems in the cloud. In the May release of…
» 閱讀更多This month we have major updates across all areas of Power BI Desktop. Along with many other reporting features, we have our biggest update to conditional formatting in while, the ability to format any fields, including strings and dates, by a different field in the model. Drillthrough also gets a major update this month with the ability to carry all filters through to the destination page. We are also enabling enterprise level scalability through incremental data refresh.
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