Abstract
I show some methods for effective and automatic reduction of data in two large surveys: the Southern Proper Motion project (SPM), and the NOAO Deep Wide Field Survey (NDWFS). The data reduction in both cases involves a somewhat intrincate but successful interaction among programs, languages and scripts, leading to a better, smarter use of the astronomer time during the reduction process, and to a more reliable consistency of the results. This pipelining of the reduction process can be easily applied to any survey with large detectors and large amounts of data.
