Understanding Data Modelling in Power BI: Joins, Relationships, and Schemas Explained

Data modeling is like building a well-organized library 📚. It helps us connect different pieces of information in a way that makes analysis easy and meaningful. In Power BI, data modeling is the process of defining how tables relate to each other, making sure data flows smoothly for reporting and insights. It involves creating relationships , understanding joins , and designing schemas — all to turn raw data into useful stories. What is Data Modeling? Imagine collecting data from different sources: sales data, customer info, products, and more. Data modeling arranges these data pieces in a logical way. Instead of having all data jumbled together, it structures it so you can analyze relationships: who bought what, when, and why? In Power BI, this is achieved through establishing relationships between tables, which allows you to filter, aggregate, and drill down into your data efficiently. SQL Joins: (Data Combination) SQL joins are ways to combine data from two or more tables based on r