i was reading up about data models today bc my dashboard wasn't behaving well. turns out without a solid structure for your tables and how they relate to each other, you're gonna have issues with insights or performance.
basically, when setting things like one-to-many relations between different datasets in power bi (joins), gotta the relationships are correctly defined so dashboards can pull data accurately. if not done right. well let's just say your pretty charts might be misleading ⚡
for example: i had a sales dataset and an inventory list, but didn't properly join them on product ID this led to duplicate products showing up in my reports unless you filter manually.
and schemas? they're like the blueprint of how all these datasets fit together. if your schema isn't clear or consistent across different teams working with it (like marketing and finance), confusion ensues
so, b4 diving into fancy visuals:
1) make sure every table has its own unique identifier
2) define one-to-many relationships between tables that logically belong to each other
3) keep your schema simple & consistent for everyone using the data model
anyone else runinto weird issues when joining datasets? i'd love some tips on how you handle this in complex models!
found this here:
https://dev.to/nancymikia/understanding-data-modeling-in-power-bi-joins-relationships-and-schemas-explained-3aak