Mongo newbie running 32-bit Mongo 2.0.1 on Windows XP. No option at present to run 64-bit.

I want to use Mongo to map-reduce a set of 60 files, each a monthly snapshot of the same 20,000 row x 100 column table. Ideally I'd put them all in one collection - and although this comes to about 1.2GB of csv data, it's well over 2GB of mongoimport'ed data.

Question: should I program around this (60 map reduces) or is there a not-too-cumbersome engineering solution that a Mongo newbie could tackle (either w sharding or some trick that results in less bloated storage given that the underlying data is really a simple table w defined columns).