Topic: DAX
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If you want to execute a DAX query from your code to a Tabular model, you might think that an OLE DB connection should be the right way to get your data. It works, but if you your code is… Read more
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The autoexist feature used by MDX queries sent to an Analysis Services or Power Pivot data models can have different behaviors depending on the normalization level. This article describes these differences and provides best practices to avoid unwanted results. Read more
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UPDATE 2020-03-28: Calculation groups are coming soon to Power BI Desktop, read the added section at the bottom of the post. I am glad to announce that we just released an additional module about Calculation Groups to the Mastering DAX… Read more
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DAX Formatter was created in 2013 to help users format their code based on the Rules for DAX Code Formatting published in October 2012. Because the main goal is to make the code immediately readable and recognizable, DAX Formatter purposely… Read more
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Another year has gone by and it has now been 10 years since DAX was first introduced in late 2009. As usual, it is time to review the past year and to take a look at the year ahead. Read more
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If you created a Tabular model using one of the preview versions (CTP, RC, …) of Analysis Services 2019, you don’t have the final structure for the Ordinal attribute that Microsoft defined in the final version of compatibility level 1500.… Read more
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This article provides information to help choose between DAX and Power Query when a table needs to compute additional columns. Read more
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The second edition of The Definitive Guide to DAX is now available worldwide! This blog post explains why we felt the need to rewrite the book and describes what happens behind the scenes when producing a book. Read more
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The second edition of the Mastering DAX video course is available! Read more
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A few weeks ago I woke up on a Saturday morning with a question notified on my Quora feed: Why do all the BI consultants hate DAX? I was challenged to answering the question because I personally love DAX but… Read more