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.
When working on Power BI date tables, it’s important to know the essential techniques so you can set things up as quickly as possible. In this tutorial, I’ll go over some important tips that can help you. The date tables are important in Power BI because you’ll need them to reference dates inside your model.
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
The importance of creating a date table in Power BI is something that people often miss, especially in the Enterprise DNA forum. Although it’s common to have a date column in your sales tables and transaction tables, that won’t be enough. You’ll need a separate date table that you can link to all those other
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
