**Update 2012-02-02 17:57 -0800:I just wrote a post about another way to do this.

I really like QGIS. It’s a powerful GIS that runs on Linux (among other operating systems) and doesn’t require incredible amounts of CPU. One criticism I had of it was that it did not provide the same ‘click-and-go’ basemap experience one can get with ArcGIS for making simple maps (i.e. Add Basemap, select Bing, DeLorme, &c. and you’re done). No more! Thanks to the qgis-openlayers plugin available on GitHub, you can now use OSM, Google Maps, Yahoo Maps and Bing Maps as base layers in your project (side note: make sure you don’t violate any copyrights by using them). I’ve had a little trouble with the projections, but I’m not that good with dynamic reprojection in QGIS yet, so I’m sure it’s my error.; Unfortunately, the layers don’t support reprojection, so your project is basically forced to use Google Mercator—which may be a showstopper but is often acceptable for quick maps (remember, QGIS can reproject your other layers). If you do want reprojection, see this post.

Google Fusion Tables is a fairly new service many may not have heard of: it lets you manage large tabular datasets in the cloud, using Google’s infrastructure. You can then visualize that data in a variety of ways, including a Google Map. The coolest feature in my mind is the ability to geocode addresses to a map on the fly. There are lots of datasets out there that, rather than providing a mappable latitude and longitude, provide an address column (or street, city, state, &c., which is easily turned into an address column using the concatenate function of your favorite spreadsheet)–many of the datasets on DataSF are like this, as are many others.