Blog consacré à Microsoft Power BI

Power BI June 2024 Feature Summary

Welcome to the June 2024 update. Here are a few, select highlights of the many we have for Power BI. You can now download large semantic models, Power BI enhanced report format (PBIR), and Subfolder support in Power BI Report Builder.  There is much more to explore, please continue to read on!

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New Fabric certification and Fabric Career Hub

Last year was a remarkable one for the Power BI community. We launched Microsoft Fabric, an end-to-end analytics platform that brings together data preparation, data warehousing, data engineering, data science, real-time analytics, and business intelligence in one unified SaaS foundation with one copy of data stored in OneLake. We also launched Power BI Copilot, making it easier to find insights and build reports using natural language. And our community of over 2 million members continued to engage on our forums, post ideas, join user groups, helping one another in their data journeys.

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Power BI December 2023 Feature Summary

Welcome to the Power BI December 2023 update. We’ve got a lot of great features this month. Here are some key highlights: Learn how you can skill up and get ready for the upcoming Fabric Analytics Engineer certification with the Cloud Skills Challenge. Join us at the first annual Microsoft Fabric Community Conference (Mar 26-28 2024)  We’ve made lots of improvement for reporting, for example there are many more options for styling your column and bar charts. If you are a fan of our PowerPoint add-in, you’ll be happy to know we’ve made it easier to find and insert Power BI content into your PowerPoint presentations. Developers can now handle with git merge conflicts directly in the workspace.

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Deep dive into DAX query view and writing DAX queries

In November 2023 release we added a new fourth view in public preview to Power BI Desktop, the DAX query view! The DAX query view gives you the ability to write, edit, and see the results of Data Analysis Expressions or DAX queries on your semantic model. Finally, you can now take advantage of the existing DAX queries syntax while working with your semantic model without leaving Power BI Desktop.

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