So far we've generated fairly modest datasets from experiments. That can rapidly change if you start running lots of repetitions of an experiment, and if you want to collect the results of different (but related) experiments within the same notebook, and to share these datasets with others or make use of tools other than epyc and your own analytics code to study them. For these reasons to need to be able to handle larger-scale datasets.