brain of mat kelcey

when working with larger data sets (ie more than can fit in memory) there are two important resources to juggle…cpu. how quickly can you process the data.disk io. how quickly can you get data to the cpu.i remember reading once that depending on your situation you might be better off using data compressed on disk. why? because the extra cpu time used decompressing it is worth it for the time saved getting it off disk.i’ve recently been working with a number crunching app (burns 100% cpu of a quadcore machine for an hour over a 7gb working dataset) and thought...