Power BI

VIDEO

VertiPaq Analyzer 1.7

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!

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Use of RANKX in Power BI measures

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.

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Implement Non Visual Totals with Power BI security roles

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.

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Analyzing events with a duration in DAX

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.

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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.

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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.

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Using ALLEXCEPT versus ALL and VALUES

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.

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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.

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Optimizing DAX expressions involving multiple measures

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.

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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.