Page 4 of 303 results
  • Handling BLANK in DAX

    The blank value in DAX is a special value requiring particular attention in comparisons. It is not like the special null value in SQL, and it could appear in any conversion from a table expression. This article explores in details…  Read more

  • Both GROUPBY and SUMMARIZE are useful functions to group by columns. However, they differ in both performance and functionalities. Knowing the details lets developers choose the right function for their specific scenario.  Read more

  • This article describes how to implement the comparison between school terms. The same technique can be applied to any arbitrary time periods that do not match regular months or quarters in a calendar, such as seasons or campaigns.  Read more

  • When a slicer contains many items, developers can filter the most relevant items using another slicer. The scenario is easily solved with a many-to-many relationship if the source is a regular table. Still, it requires some DAX coding if the…  Read more

  • A filter argument in CALCULATE is always an iterator. Finding the right granularity for it is important to control the result and the performance. This article describes the options available to create complex filters in DAX.  Read more

  • This article explains the precedence of calculation groups in DAX, needed whenever multiple calculation groups are present within the same model. Before starting, we suggest you read the previous articles in this series.  Read more

Show more