https://docs.justcat.it/how-to-guides/data-platforms/power-bi/ Recent content in Power BI on Hugo -- gohugo.io Fri, 21 Aug 2026 10:00:00 +0200 https://docs.justcat.it/how-to-guides/data-platforms/power-bi/test-power-bi/ Tue, 07 Nov 2023 06:59:23 +0100 https://docs.justcat.it/how-to-guides/data-platforms/power-bi/test-power-bi/ What you can test # Where the model is Provider Guide A .pbix or .pbip file open in Power BI Desktop on your machine PowerBI@2 — the open file’s name is the whole connection Test a Power BI Desktop file A semantic model published to a workspace — Power BI or Microsoft Fabric Dax@2 over the workspace’s XMLA endpoint Test a semantic model in a workspace A tabular model in Azure Analysis Services or SQL Server Analysis Services Dax@2 the same guide — only the connection string differs In every case the test’s query is DAX, not SQL — a tabular model does not speak SQL. https://docs.justcat.it/how-to-guides/data-platforms/power-bi/test-a-power-bi-desktop-file/ Fri, 21 Aug 2026 10:00:00 +0200 https://docs.justcat.it/how-to-guides/data-platforms/power-bi/test-a-power-bi-desktop-file/ Prerequisites # Power BI Desktop on the machine where CAT runs, with the file open while the tests run. Windows only (Power BI Desktop is). No driver, no account, no permissions — the open file is reachable on the machine. Add the data source # CAT Studio YAML Data sources → New data source: a name, technology Power BI Desktop, and the name of the open file as Power BI Desktop shows it in its window title — Finance for Finance. https://docs.justcat.it/how-to-guides/data-platforms/power-bi/test-a-semantic-model-in-a-workspace/ Fri, 21 Aug 2026 10:00:00 +0200 https://docs.justcat.it/how-to-guides/data-platforms/power-bi/test-a-semantic-model-in-a-workspace/ Prerequisites # The workspace is on a capacity that exposes the XMLA endpoint: Power BI Premium, Premium Per User, or a Fabric capacity. Read access through the endpoint is on by default; the tenant setting Allow XMLA endpoints and Analyze in Excel with on-premises semantic models must be enabled (it is, unless an admin turned it off). An identity that may read the model. For unattended runs that is a service principal — an app registration with a secret in Microsoft Entra ID. https://docs.justcat.it/how-to-guides/data-platforms/power-bi/get-the-dax-query-behind-a-visual/ Sun, 10 Dec 2023 06:59:23 +0100 https://docs.justcat.it/how-to-guides/data-platforms/power-bi/get-the-dax-query-behind-a-visual/ Performance Analyzer — the query of a visual # The report is open in Power BI Desktop (or you are editing it in the service). Optimize ribbon → Performance Analyzer (in the service: View → Performance Analyzer while editing). Start recording, then Refresh visuals — or click Analyze this visual in the corner of the one visual you care about. Expand the visual in the pane and select Copy query. (Run in DAX query view opens it in Desktop’s query view instead, where you can run it and trim it. https://docs.justcat.it/how-to-guides/data-platforms/power-bi/test-measures/ Fri, 21 Aug 2026 10:00:00 +0200 https://docs.justcat.it/how-to-guides/data-platforms/power-bi/test-measures/ All examples use a model data source sales model (Desktop file or workspace — the tests do not care) and, where a second side is needed, a warehouse data source DWH. Both sides of every sets match are ordered — ORDER BY in DAX and SQL alike — or the test sets Sort data: true; see Order and key. A total against the warehouse # One row on each side. Tolerance absorbs rounding between the model’s decimal and the database’s: https://docs.justcat.it/how-to-guides/data-platforms/power-bi/sql-to-dax/ Sun, 10 Dec 2023 06:59:23 +0100 https://docs.justcat.it/how-to-guides/data-platforms/power-bi/sql-to-dax/ 🐱 You can also let the tools write the DAX: Power BI hands you the query of any visual, DAX query view writes one from a measure, DAX Studio builds one by drag and drop — see Get the DAX query behind a visual. And any AI assistant — CAT Pilot in CAT Studio, Copilot in DAX query view, the one on your desk — translates a SQL statement to DAX on request; run the result and compare before you trust it.