This article describes how DAX resolves column and measure names in DAX, providing best practices to avoid conflicting names.
This article describes a number of techniques available to filter tables in DAX, showing possible pitfalls that you can avoid once you know them, in particular using bidirectional filters.
One of the hardest things to do, when learning DAX, is to get rid of common sense reasoning and learn to follow a new set of rules, which are defined in the language and that are somewhat unique.
This article describes different techniques to retrieve multiple values from a lookup table in DAX, improving code readability and performance.
This article describes how table expansion and filter context propagation are important DAX concepts to understand and fix small glitches in DAX expressions.
This article describes the IN operator in DAX, which simplifies logical conditions checking whether a certain value is included in a list of values or expressions.
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.
This article explains how to use SUMMARIZECOLUMNS, which is a replacement of SUMMARIZE and does not require the use of ADDCOLUMNS to obtain good performance.
If you do not have a full month with data, comparisons such as year-over-year (YOY) might require particular filters in order to do a like for like comparison in DAX. This article describes how to write DAX expressions comparing equivalent periods, keeping corresponding number of days in the comparison.
This article describes how to implement incremental updates to an Analysis Services database in Tabular mode with compatibility version 1200 or higher.
The RANKX function in Power BI might have an unexpected behavior when applied to a column that has a specific sort order in the data model. This article explains why, and how to address this issue.
This article describes how to implement non-visual-totals with security roles in Power BI and Analysis Services Tabular, which by default show only visual totals of measures in the model.
This article describes how to improve the productivity when you editing DAX measures in a SSAS Tabular model by using the DAX Editor for Visual Studio.
This article analyzes how to efficiently work with events that lasts over time, such as the duration of an order considering the distance between order date and ship date.
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.
This article explains how to create a calculated column in DAX to get a sequential number identifying the events related to a particular entity.