I was a researcher at the Large Hadron Collider around the time “Big Data” became a thing. We had one of the use cases where analyzing all the data made sense, since it boiled down to frequentist statistics, the more data, the better. Yet even with a global network of supercomputers at our disposal, we funnily figured out that fast local storage was better than waiting for huge jobs to finish. So, surprise, surprise, every single grad student managed somehow to boil the relevant data for her analysis down to exactly 1-5 TB, without much loss in analysis flexibility. There must be like a law of convenience here, that rivals Amdahl’s scaling law.