The problem: I've N classification models (independent), for each of these N models, I've different versions (eg: V0, V1, ..., Vfinal_production,Vexperimental). I'm looking for a way to store my datasets efficiently on the cloud (for redudency).
Note: We're not talking about BigData here.
Current Solution: Created a private GitHub repo. Made N directories and inside, pushed different dataset versions as different files.
Are there better solutions for this (because I feel VCS is an overkill for this problem)?