This article describes how table expansion and filter context propagation are important DAX concepts to understand and fix small glitches in DAX expressions.  Read more

This article explains how to use SUMMARIZECOLUMNS, which is a replacement of SUMMARIZE and does not require the use of ADDCOLUMNS to obtain good performance.  Read more

If you do not have a full month with data, comparisons such as year-over-year (YOY) might require particular filters in order to do a like for like comparison in DAX. This article describes how to write DAX expressions comparing equivalent…  Read more

If you work with Power Pivot, Power BI, or Analysis Services Tabular, you probably already know VertiPaq Analyzer. If you never used it, with the new release 1.7 you have another couple of very good reason to try it. VertiPaq Analyzer is a Power Pivot  Read more

VertiPaq Analyzer is useful to analyze VertiPaq storage structures for a data model in Analysis Services Tabular. Learn how to connect VertiPaq Analyzer to Power BI and to SSAS Tabular, and see quick overview of the features available. Then, download…  Watch now

This article analyzes how to efficiently work with events that lasts over time, such as the duration of an order considering the distance between order date and ship date.  Read more

Last week, a new version of DAX Studio (2.5.0) has been released. You can find a summary of the new features in the blog post from Darren Gosbell – thanks Darren for your wonderful job with this tool! My small contribution to this tool is mainly in the  Read more

This article explains how to create a calculated column in DAX to get a sequential number identifying the events related to a particular entity.  Read more

A recent change in the DAX language transformed the behavior of IF statement, so that it should not return BLANK but only TRUE/FALSE if the results should be logical expressions. In that case, the BLANK is transformed in a FALSE condition. For example,  Read more

If you are used to virtual relationships in DAX (see Handling Different Granularities in DAX ), you probably use the following pattern relatively often: [Filtered Measure ] := CALCULATE (     <target_measure>,     FILTER  Read more