Data modelling and DAX
This article aims to show how you can speed up distinct count calculations in Power BI using the built-in user-defined aggregations feature. The user-defined aggregation feature in Power BI is designed to work with direct query models and usually gets used for calculations such as SUM, MIN, MAX etc. However, it can also work well … Continue reading Speed up Distinct Count calculations in Power BI using Aggregations
Introduction How to choose the correct storage mode for Power BI Tables. This article aims to help explain the different storage modes available when designing an aggregation strategy for a Power BI Report. What each storage mode is and when you would use it. Picking the correct storage mode for each table in your model … Continue reading Power BI Storage Modes for Aggregations
Introduction This is part 1 in a series of articles I plan to write over in the coming weeks regarding the use of Aggregate Tables in Analysis Services databases. Some of the techniques covered in this series have been developed after working on some of the largest models around. The series will cover : Introduction … Continue reading Creative Aggs Part I : Introduction
For this blog, I want to share an interesting data modelling technique which you might consider when having performance problems with time intelligence calculations. This particular pattern works well on very large data-sets, especially for visuals that contain multiple measures and multiple periods. The idea is to create a Time Intelligence table which contains blocks … Continue reading Row-based Time Intelligence
