Using Power BI DMVs

Kasper de Jonge shows off a few Power BI dynamic management views:

Today a quick one that I came across while writing a different blog post that I will blog later. I know we have talked about it again and again but a good best practice is to remove any high carnality columns you don’t necessary need. This trick is not new and has been blogged about before in different places but I wanted to emphasize it again due to the importance.

I was finishing up my next blog post and wanted to upload the sample file. While doing that I noticed the file was 150MB large. That is rather large for such a simple file. The largest table has 500,000 rows and none of them are unique. What is going on?

There are some interesting DMVs in Kasper’s post, including one which shows cardinality by column.

Related Posts

Using Hidden Slicers To Control Visible Power BI Slicers

Prathy Kamasani has an interesting problem to solve: In my current project, one of the user requirement was to have a filter on the Year Slicer. To explain in detail, we have various measures to show metrics for current and earlier measures. For example 2016,2017 and 2018. In 2016, we always have blank values for […]

Read More

Executing Python Code In Power BI

Brad Llewellyn shows how to build a visual based on a Python script using Power BI: Now that we’ve seen our data, it’s a relatively simple task to convert the R script to a Python script. There are a few major differences. First, Python is a general purpose programming language, whereas R is a statistical […]

Read More


November 2018
« Oct Dec »