Analyze DirectQuery requests using DAX Studio


This article describes how DAX Studio can analyze the SQL queries sent to a relational database by Power BI or Analysis Services Tabular in DirectQuery mode.


Numbering sequence of events in DAX


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




This article describes the semantic difference between ALLEXCEPT and the joint use of ALL and VALUES, showing practical examples of the different results in Power BI and SSAS 2016.


DAX coding style using variables

This article shows how variables in DAX can impact the coding style, simplifying a step-by-step approach and improving the readability of your code.


Physical and Virtual Relationships in DAX

DAX calculations can leverage relationships present in the data model, but you can obtain the same result without physical relationships, applying equivalent filters using specific DAX patterns. This article show a more efficient technique to apply virtual relationships in DAX expressions.


Optimizing DAX expressions involving multiple measures

Measures summed

Writing measures referencing other measures is in general a good idea that simplifies the DAX code, but you might face specific bottlenecks. This article describes which performance issues might arise when different measures aggregate the same column using different filter arguments, and how to improve efficiency of your DAX code.


Many-to-many relationships in Power BI and Excel 2016

The new DAX available in Excel 2016 and the data model in Power BI and Analysis Services 2016 offer tools to manage many-to-many relationships in a more efficient way than previous version, as described in this article.


Computing New Customers in DAX

In this article, Alberto Ferrari describes a new efficient way to compute returning customers in DAX thanks to an idea suggested by a student attending an Optimizing DAX workshop.


Choosing Numeric Data Types in DAX

A data model for DAX has three numeric data types: integer, floating point, and fixed decimal number. This article describes them and explains why the fixed decimal number should be used instead of the floating point in most scenarios.


Data Import Best Practices in Power BI

When you create a data model in Power BI, you should consider how to properly use naming convention and what columns to include, in order to improve usability and performance. This article provides a quick list of best practices valid for both Power BI and Power Pivot.