![]() Alternatively, DAX’ CROSSFILTER() function can come in handy as well. This has a serious drawback on report performance as every interaction is very plausible to cause a loop of filtering actions, especially when your data model consists of multiple enabled both-directional relationships. A both-directional relationship between two tables actually means both tables will cross-filter each other. Avoid both-directional relationships in your data model The biggest performance wins I’ve ever made was accomplished by simply converting third-party visuals to default visuals. In some specific business scenarios, they can actually be very suitable. Report developers are often very tempted to scroll through the list of third-party visuals, which can be found in the marketplace, and end up importing them. Examples: Adjust data types of numeric codes to integer values where possible and use 1/0 instead of TRUE/FALSE. pbix file size as total memory size will reduce exponentially. By replacing string values with integer values, preferably at source level, both. String values do not compress as well as integer values. Use integers instead of text values whenever possible As hidden visuals won’t be rendered, they do not have a single impact upon report performance. And if, in some cases such as when relying upon bookmarks, you really see added value in enriching your report with a bunch of shapes or data visualizations, please do hide them whenever possible. Only keep necessary visualsĮvery single additional visual needs time to render and will therefore slow down your report. ![]() Luckily enough there are some tips and tricks to melt your frustrations like snow in the sun. Your reports should render instantly, especially if there is a large or C-level audience consulting them on a regular basis. 10 performance tips to speed up your Power BI reportsĪrriving at work and the first thing you do is opening your Power BI report and going for a coffee while waiting for the report to render.
0 Comments
Leave a Reply. |