This article describes how to create a virtual relationship in DAX using the TREATAS function, which is more efficient than approaches based on INTERSECT or FILTER.  Read more

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.  Read more

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…  Read more

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…  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

Applying security roles to a SSAS Tabular database might impact query performance. This article describes existing issues and possible workarounds. This is an advanced article, a good knowledge of storage engine and formula engine is required.  Read more

Hardware and virtualization settings have a big impact on Analysis Services Tabular performance. This article describes best practices for the most important settings to check.  Read more

In this session, you will learn how to define a scalable data model in Power Pivot or Analysis Services, handling a growing volume of data and requests. You will see how to optimize memory usage and performance, how to use…  Watch now

DAX Studio 2.1 has new important features to analyze query plans and find bottlenecks in your DAX queries. This is a short introduction to this new version.  Watch now