Power BI Developer community August 2020 update
This blog post covers the latest updates for Power BI embedded analytics and Power BI visuals platform
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Announcing you can now block classic workspace creation
We’ve added a new tenant setting for Power BI admins to choose if users can create classic workspaces. This helps organizations control workspace creation more effectively and prevent unwanted workspaces from appearing in Power BI when Office 365 groups are created.
» 閱讀更多Power BI Dataflows: Multiple data lakes support
Power BI Dataflows now support multiple independent ADLSGen2 storage accounts, configurable by workspace admins.
» 閱讀更多August 2020 Community Challenge: Can You Solve These?
Exciting news: We are starting our first cross-community ‘Can You Solve These?’ challenge.
» 閱讀更多Join us! Thursday July 30, 2020 at 11:00 AM – 12:00 noon PDT with Reza Rad!
Come to this session to learn about the options that you have for your end-users and what way you can take to have the most cost-effective Power BI implementation.
» 閱讀更多Power BI Service and Mobile May and June 2020 feature summary
It’s time to recap all the features and announcements we made for the Power BI service and mobile for the months of May and June.
» 閱讀更多Join us! Tuesday July 21, 2020 at 11:00 AM – 12:00 noon PDT with Gaston Cruz!
Join us to walk through the latest tips and tricks when working with XMLA Endpoints in Power BI.
» 閱讀更多Announcing React Power BI
We’re thrilled to announce the release of Power BI component for React.js. React.js is a popular open-source JavaScript library, and many of you asked for an easier integration between Power BI and React web applications.
» 閱讀更多Thank You for 5 Years!
Join us to thank the Power BI Community for 5 Years of contributions and helping others. Get a sneak peek of the event, and to find out more on our blog.
» 閱讀更多Join us! Thursday July 16, 2020 at 11:00 AM – 12:00 noon PDT with Markus Ehrenmueller!
Power BI Desktop has to a lot to offer with visualizing time series data, whether its using built-in features or custom visualizations, scripts written in R and in Python, this is a great session to see what these tools can do to gain insights about data.
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