Topic: Tabular
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This article describes how to optimize a text search operation in DAX. This technique can improve the performance of Power BI reports that use the contains condition in the filter pane or the filter mode of the Smart Filter Pro… Read more
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The second edition of the Optimizing DAX video course is available: new content, a new book, and some on the behind-the-scenes of the project. Read more
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Optimize the query performance of a SWITCH function in DAX that reads a slicer selection: the Group By Columns property can solve a practical problem. Watch now
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The composite models in Power BI introduced a new type of relationship cardinality called many-to-many. Nevertheless, despite their name, they are not many-to-many relationships: they are relationships between tables generated at different granularity. In this session, we clarify the purpose… Watch now
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How to implement a DAX measure to run faster than what you get from the built-in horizontal fusion optimization. Watch now
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This article describes how to implement a DAX measure to run faster than what you get from the built-in fusion optimization. Read more
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This article provides the best practice to use ADDCOLUMNS and SUMMARIZE, two functions that can be used in any DAX expression, including measures. Read more
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This article describes how Power BI uses the Group By Columns attribute of a column and how you can leverage it in specific scenarios. Read more
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DAX Studio 3.0.6 introduces a new Timeline visualization in Server Timings to help you investigate performance issues: let’s explore how it works! Watch now
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DAX provides a set of functions (Time Intelligence) to compute aggregations and comparisons over a range of dates: Year-To-Date, Same-Period-Last-Year, Moving Average, and so on. The DAX time intelligence functions can work well with a month granularity, but they have… Watch now
