In this tutorial, we’ll learn about staging queries using Power Query editor. This is a new concept that I’d like to discuss for us to have an understanding of when and where we can use this in the query editor. Staging queries can be used to configure and expose the data sources parameters to the dimension and fact table queries of the dataset. For Power BI datasets,
In this tutorial, we’ll discuss essential transformations within Power BI Query Editor that can be used to optimize your rows and columns. In developing an intuitive Power BI model, it’s best to simplify your rows and columns inside your table. Optimizing your table is essential in creating visualizations, so you can easily recognize your data.
I’m going to show you how to keep your practice dataset updated every time you do a refresh. If you really want to improve your DAX skills, the way way is to use it and put it into practice. And to do that, you’d need a practice dataset that helps you visualize and work on
Let me discuss some advanced transformations in Power BI through the query editor. Remember that you can combine different actions within the query editor to fully optimize your models. It’s just a matter of familiarizing yourself with the different transformations in Power BI and finding out what scenarios they’re useful for. DOWNLOAD FILES USED IN
I’m going to talk about simple Power BI transformations you can do around the query editor. The query editor allows you to clean up your data and transform it from its rawest form. Although it allows you to do some really advanced transformations, I want to focus on the simple ones you can do. Through
