I’ve seen this happen way too often…People start building Power BI reports without thinking about the model first and that’s where things start breaking. In this blog, I’m going to walk you through some of the most common data modeling mistakes in Power BI that I’ve seen over the years, and how you can avoid them.
We’ll talk about things like:
• Why you don’t always need all the rows in your fact table
• How to reduce data size using aggregation (summarization)
• Why too many tables (especially 1:1 relationships) slow down your model
• The problem with multiple fact tables instead of one clean table
• How to decide which columns to keep vs remove
• And most importantly, how to plan your data model before building anything
If you’re working with Power BI, data modeling, Power Query, or DAX, this video will help you build cleaner and more scalable models.
