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.
VertiPaq Analyzer is useful to analyze VertiPaq storage structures for a data model in Analysis Services Tabular. Learn how to connect VertiPaq Analyzer to Power BI and to SSAS Tabular, and see quick overview of the features available. Then, download and use VertiPaq Analyzer: it’s free!
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 explains how to create a calculated column in DAX to get a sequential number identifying the events related to a particular entity.
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.
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.
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.
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.
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.
DAX introduced a GROUPBY function that should replace SUMMARIZE in some scenarios. This article describes how to use GROUPBY in nested grouping scenarios and other improvements.