1minMLOps #2 :Versioning your data with DVC

In the last article we talked about why ML is harder than regular software: code, data and environment all move at the same time. Today we're tackling the second one data with a tool called DVC (Data Version Control). Why not just use Git? Git is amazing for code, but it was designed for small text files. The moment you commit a 2 GB CSV or a folder of 50,000 images, things get unpleasant fast: the repo balloons, git clone becomes a coffee break, and GitHub starts politely asking you to leave. D