Connecting Multiple Fact Tables in Power BI | Data Modeling Best Practices
If your Power BI model has more than one fact table like Sales Data and Returns Data(Two Fact tables), this video is a must-watch.
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In this tutorial, we’ll explain how to connect multiple fact tables in Power BI correctly using shared dimension tables like Date, Product, and Customer. You’ll learn why fact-to-fact relationships are wrong, and how proper modeling improves performance, accuracy, and scalability.
This video is part of our Power BI Data Modeling series and is extremely useful for:
Power BI beginners
Data analysts
Interview preparation
Real project scenarios
🧠 What You’ll Learn
Why fact tables should NOT connect directly
How shared dimension tables solve the problem
Sales vs Returns real project example
Best practices used in real-world Power BI models
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00:00 – Why Multiple Fact Tables Are a Problem
00:45 – What Is a Fact Table? (Quick Recap)
01:30 – Sales & Returns Example Explained
02:40 – Why Fact-to-Fact Relationships Are WRONG
03:45 – Correct Way: Shared Dimension Tables
05:10 – How Filtering Works Across Fact Tables
05:40 – Common Modeling Mistakes to Avoid
06:30 – Real Project Best Practices
06:50 – Interview Tips & Final Summary
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