Hi, just the other day I talked to a friend of mine who works for an online radio service who told me he was currently looking into how best work with assorted usage data: currently 250 million entries as a 12GB in a csv comprising of information such as which channel was tuned in for how long with which user agent and what not. He accidentally ran into K and Q programming language (*1) which apparently work nicely for this as unfamiliar as it might seem. This certainly is not my area of expertise at all. I was just wondering how some of you would suggest to approach this with Haskell. How would you most efficiently parse such data evaluating custom queries ? Thanks for your time, Tobi [1] (http://en.wikipedia.org/wiki/K_(programming_language) [2] http://en.wikipedia.org/wiki/Q_(programming_language_from_Kx_Systems)