Relationships are the foundation of any Power BI or Analysis Services Tabular data model with multiple entities. At first sight, this is a trivial concept, especially if one has a knowledge of relational data modeling. However, the ability to create…  Watch now

Microsoft announced at SqlBits a very important feature for DAX: Calculation Groups. These are my first impression about the new feature and the impact it will have on Analysis Services and Power BI.  Read more

We are approaching the end of 2018, so it is a good time to review what happened in the DAX world this year, what we’ve been up to at SQLBI and what is going to happen in 2019. New DAX…  Read more

This article describes how DAX automatically converts data types in arithmetic operations. These small details can cause and explain differences in results when using the same operations in other languages.  Read more

This article describes how to use the detail rows expression of a measure to obtain the equivalent of creating table functions in DAX. This allows the reusing of a table expression in multiple CALCULATE filters.  Read more

When you create a Tabular model for Analysis Services, the Culture and Collation properties are set automatically and cannot be changed by the SSDT user interface in Visual Studio. The biggest issue is the workspace database, because these properties cannot…  Read more

This article provides a complete explanation of the behavior of the ALLxxx functions in DAX. When used as filters in CALCULATE, ALLxxx functions might display unexpected behaviors.  Read more

If you import more than one table into Power BI or Power Pivot, you have a data model. When you have more than one table, you usually have relationships between tables. When you analyze data, you often have many choices…  Read more

ALLSELECTED is a powerful function that can hide several traps. This article is an in-depth analysis of the behavior of ALLSELECTED, explaining shadow filter contexts, what they are and how they are used by ALLSELECTED.  Read more

This article describes how to use variables to optimize the performance of DAX expressions containing multiple instances of the same measure or the same sub-expression.  Read more