187 results
  • Activating bidirectional cross-filter in a Tabular data model might create ambiguous paths in the chain of relationships, resulting in very dangerous models as numbers become unpredictable. This article provides a deep explanation of the kind of ambiguity that might appear…  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

  • 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

  • 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

  • Data lineage is such a well-implemented DAX feature that most developers use it without knowing about it. This article describes data lineage and how it can help in producing better DAX code.  Read more

  • DAX creates a blank row to guarantee that results are accurate even if a regular relationship is invalid. The blank row is not created for limited relationships. This article shows the effect of not having a blank row in your…  Read more

  • In December 2022, DAX was enriched with window functions: INDEX, OFFSET, and WINDOW. This article introduces the syntax and the basic functionalities of these new features.  Read more

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