As some scientific data resources grow well past the terabyte mark, so do the technical challenges of analyzing and retrieving such data. When presented with such a large volume, prior data delivery techniques, such as the time-honored system of simply copying all data to local storage prior to analysis, become impractical. We present CASJobs, an online workbench that focuses on enabling server-side exploratory and analytical tasks on large sets of data.