Why Data Validation Matters

Day 41 of 100 Days of MLOps, and Module 5 begins. A model is only as good as the data feeding it — and bad data doesn't announce itself. Watch a single mis-recorded batch flow straight through a healthy-looking model with no error at all, silently producing garbage predictions. This is why validating data before it reaches training or serving is one of the highest-leverage things in MLOps. Runs 100% locally on any OS.