![]() ![]() So I'd still suggest that you take a copy / multiple copies of your current cube project and make them be more specific to one specific area (for example in finance-cube, we might not need HR data). Processing new data in a fact table rather than the whole table will save time. I'm a fan of one cube one - one data area -type design. Partitioning in Analysis Services (SSAS) is an option to help with nightly processing. If you have an Enterprise edition SQL Server, you might consider partitions to speed up the processing of the cube.Īnother way would be to limit the amount of data to secondary cubes (only the current quarter / one country / one department / etc). Then you can use the query and SSIS Power Query Source to get the data. ![]() There you can drag and drop the fields you want and then get the underline DAX query with SQL Profiler (set up a pofiler session and click refresh in Excel to get the query).įor M Queries, it might be best to use Excel or Power BI Desktop and it's Power Query editor for designing the the output and then copy the M Query made by the editor. If you don't have experience with DAX, you can use tools like Excel and import the data to a Power Pivot table. I have inserted username() and and userprincipalname() measures to report. We are excited to announce you can create composite models in Power BI Desktop by connecting to SQL Server 2022 Analysis Services tabular models When you upgrade or deploy your tabular models to SQL Server 2022 Analysis Services this DirectQuery connection becomes available in Power BI Desktop starting with May 2022 release. Users can see all the information in the report. However in the published to PBI service report roles do not work. If you'd like to use DAX, you can use SSIS Analysis Services Connector and Execute SQL -task for that purpose. We have created report with Live connection to tabular SSAS. You'd just have to create some DAX or MDX queries, which provides the data you need OR you can use M Query language to get the data. I mean, you can do that, but that's not what they are there for. Organizations with existing SSAS Tabular models may choose to migrate to Azure. Cubes aren't really designed to work so that you could create a subset out from another one. As depicted in the Scale section earlier, Azure Analysis Services. ![]()
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