Using Python for processing of large datasets (convincing managment)

[Paul Rubin]

claird at starbase.neosoft.com (Cameron Laird) writes:
> You've mentioned once already that you might do more with your SQL.
> I can imagine that much the greatest returns in performance will
> come from writing more of your algorithms in SQL.  That's likely to
> be a more scalable and satisfying ap- proach than the
> multi-processing complexities at which you've hinted.  --

Actually, SQL tends to be awful slow too.  Recent Oracle versions let
you write stored procedures in Java, which are orders of magnitude
faster than PL/SQL procedures.  MySQL also has some alternate language
interfaces for stored procedures now but I'm not up on them.