As someone who works with 10s to 100s of TB of data from SQL and SQL-like DBs on a daily basis, writes lots of analytical code, I can say, emphatically, BS. Un

As someone who works with 10s to 100s of TB of data from SQL and SQL-like DBs on a daily basis, writes lots of analytical code, I can say, emphatically, BS. Unless your analyses are trivial (column mean, max, etc.), chances are you need a real programming language behind you. And when you are working with dataframes that are 300+ million rows (glances over to his work machine, yup, that's a smaller analysis I need to run), you need a compiled and fast language for this, which can run in parallel on multiple threads and machines. You aren't using SQL for this. You aren't likely using pandas for this, or pyspark.