Data modelling and DAX
Did you know, Analysis Services (the engine behind Power BI) keeps track of the number of referential integrity (RI) issues in your model? It uses this information to decide if some calculations can take advantage of specific optimisations. When RI issues exist in an IMPORT model, complex expressions will not be able to use all … Continue reading Clean data = faster reports
This post is the last in this series (for now) and describes a technique used to enhance performance in Power BI models that use Aggregate Awareness. I hope you’ve enjoyed the series as much as I have writing and sharing. I will no doubt add more articles in the future but need to pause this … Continue reading Creative Aggs Part VI : Shadow Models
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
This is not so much a DAX tip, rather something you might consider if you want to speed up the performance of any Direct Query (DQ) model you manage in Power BI or Analysis Services. The simple tip is to set relationships to use INNER JOIN rather than LEFT OUTER JOIN in the model. Once … Continue reading Tip to speed up Direct Query
