In today’s blog post, I want to discuss how you can build additional data dimensions in Power BI. These dimensions can help you filter your data in different ways. On top of that, these dimensions can help you come up with intuitive visualizations later on. This is also the reason why you need to set
Previously, I discussed the importance of data model relationships in Power BI. I also introduced the one-to-many and many-to-one relationships. Now, I’ll teach you about the difference between active and inactive data relationships. These are important concepts that you need to be familiar with in data modelling. In this example, you can see that the
In today’s tutorial, I want to highlight how important it is to build your data model relationships correctly. Data modelling is one of the foundations of your Power BI report so it’s necessary to set it up correctly. Previously, I discussed some techniques that can help you manage your model right. One of them is
When you transform your data inside the Query Editor, there are important practices that you need to implement to get the best experience. These are simple tips that can have a big impact on your reports and visualizations. It includes the things that people often take for granted but are essential in getting high-quality analysis
As I mentioned in the previous tutorial, you need to bring in your raw data first before you can do anything else in the Query Editor. I’ll teach you the different ways you can get your data from multiple data sources. I also want to remind you that there are two ways to load your
