This completely tangential, but any time I see someone talking about normalizing a database, I briefly think they are talking about doing something like:

x/|x|

Ya know, like normalizing a vector. Of course this brief confusion doesn't matter, I sort it out quickly, and it is totally clear language to other database people -- it is just a funny quirk of overloaded lingo.

But I wonder if as big data and machine learning folks (since there's some overlap with Linear Algebra there) ever get their lingo mixed up.

"To predict where the ridesharing customers will want to go, we will apply the taxicab norm to our database."