The businesses usually think they have a lot of data because they look it in terms of number of years of data but in practice their datasets are only a couple h

The businesses usually think they have a lot of data because they look it in terms of number of years of data but in practice their datasets are only a couple hundred megabyte large. Yet they setup Spark, Hadoop, and all of that stuff to "extract insights" from it. Usually all they need is someone who knows python to write a script to parse their data and put it in Postgres