Probably in the sense of "you're only running the really heavy analytics queries once a day/week/month", and thus don't constantly need the 24TB instances.

It's pretty common to run analytics workloads on a fixed schedule. I've setup anlaytics workflows that ingest data every day/week/quarter and generate a report once a day.

With workflows like that something like DuckDB can be amazing

It is very common that the majority of work happens during business hours. In some setups it's easy. It's better to get beefy instance during that time and avoid having it running all the time.

not sure, but maybe it's possible only to update the model in a specific time? are there other uses to the data apart from learning and validation?