As a data professional, one norm that I have had to accept is that raw data rarely comes in one neat package. Most of the times, it'll be scattered, messy, and it lives across different tables that naturally don't talk to each other. Have you ever stayed up late looking at several spreadsheets trying to figure out how they relate to each other? Well, the good folks at Microsoft built Power BI to solve this. Power BI gives you the tools to create relationships between different sets of messy data. Before building beautiful dashboards with Power BI, however, you will need to understand what is happening beneath the surface.
This article examines the importance of data modelling, relationships, schemas and joins in Power BI. Understanding how these concepts work together and getting them right makes all the difference in creating insightful dashboards.
Beyond the Spreadsheet: Giving Your Data a Voice through Meaningful Relationships
Data modelling involves structuring and organizing your data in a way that Power BI can make sense of it. It's similar to setting up a filing system before you start working. Without having a sensible structure in place, your reports will either break or produce results that are untrustworthy.
