Smarter big data processing using collaborative map reduce frameworks

摘要

Map reduce processing is performed holistically, to yield map reduce results data, on an aggregated group of data sets, which had been generated and maintained with “splits” separating the separate date sets, rather than being performed separately on the split data sets and then aggregating (or attempting to aggregate) the map reduce processing results.