Im curious, how do data scientists use these massive datasets, especially the old stuff. Is it more of a compliance and need/should-save type thing or is the data actually useful? Im baffled by these numbers having never used a large BI tool, and am genuinely curious how the data is actually used operationally.
As a layman, I imagine lots of it loses relevancy very quickly, e.g Amazon sales data from 5 years ago is marginally useful to determining future trends and analyzing new consumer behavior regimes?
As a layman, I imagine lots of it loses relevancy very quickly, e.g Amazon sales data from 5 years ago is marginally useful to determining future trends and analyzing new consumer behavior regimes?