To use Microsoft AutoUpdate, start an Office application, such as Word or Excel, and then choose Help -> Check for Updates.Īpple built its Rosetta 2 translation software so that Macs can run x86-64 code that's written for Intel Macs. Users can get the new version from Microsoft AutoUpdate (MAU). The latest update applies to Office 365, Office 2019 for Mac, Office LTSC 2021 for Mac, and Office 2021 for Mac, which are available as a one-time purchase from a retail store or through a volume licensing agreement. If you previously used Rosetta emulator to run Excel, you may now disable it and run Excel natively on your devices. Fortunately, you can use Advanced editor and there write in M language (or copy - paste here from Power BI Desktop Query editor)Īfter confirmation and closing you have to Save it.įrom now, you can in Power BI Desktop select this Dataflow as a datasource and use it as any other source.Microsoft has released a new version of its Office for Mac productivity suite that includes an updated Excel app with 100% native support for Apple silicon machines.Īccording to the release notes accompanying version 16.57, Excel will now run natively on Macs powered by Apple's M1-series processors without having to use the Rosetta 2 translation layer, which means anyone using a Mac with an M1, M1 Pro, or M1 Max processor can expect better performance and energy efficiency when working with Excel spreadsheets, particularly those that make use of the Power Query function.Įxcel is fully supported on devices with Apple Silicon CPUs: Power Query in Excel for Mac is now natively supported on Apple Silicon processors. It is obvious, that compared to Power BI Desktop, the abilities of this editor are very limited. In next step we appeared in an interesting environment, similar to Power BI Query editor. In this example let´s use this exchange rate list: In portal go to worksplace / Dataflows.įor demonstration, let´s use Web Api - some webpage with no authorization, no gateway etc: The main benefit is that one person in company can handle the connection to datasources and cleaning of data (and thus create Dataflow) when other people can connect to it and create custom repots on it. How to create Dataflow and how to connect to itĭataflow is a set of tables on.

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