Topic: DAX
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Learn how to use calculation groups and how they work internally. The whitepaper is a companion to the related SQLBI+ video course. Read more
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GROUPBY and SUMMARIZE seem similar, but they differ in both performance and functionalities. Choose the right one depending on specific scenarios! Watch now
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How to apply dynamic security roles in a hierarchical organization to minimize the maintenance effort on the security configuration and obtain the best performance at query time. Watch now
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How to implement the comparison between school terms. The same technique can be applied to any arbitrary time periods that do not match regular months or quarters in a calendar, such as seasons or campaigns. Watch now
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Choose between many-to-many relationships and DAX code to filter the most relevant items using another slicer. Indeed, calculation groups cannot use relationships! Watch now
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This article describes how to apply dynamic security roles in a hierarchical organization to minimize the maintenance effort on the security configuration and obtain the best performance at query time. Read more
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Both GROUPBY and SUMMARIZE are useful functions to group by columns. However, they differ in both performance and functionalities. Knowing the details lets developers choose the right function for their specific scenario. Read more
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This article describes how to implement the comparison between school terms. The same technique can be applied to any arbitrary time periods that do not match regular months or quarters in a calendar, such as seasons or campaigns. Read more
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When a slicer contains many items, developers can filter the most relevant items using another slicer. The scenario is easily solved with a many-to-many relationship if the source is a regular table. Still, it requires some DAX coding if the… Read more
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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
