Iu, Christopher Ming-YeeZwaenepoel, Willy2010-03-162010-03-162010-03-16201010.1145/1755913.1755939https://infoscience.epfl.ch/handle/20.500.14299/48180WOS:000279535100019Map Reduce is a cost-effective way to achieve scalable performance for many log-processing workloads. These workloads typically process their entire dataset. Map Reduce can be inefficient, however, when handling business-oriented workloads, especially when these workloads access only a subset of the data.LanguagesPerformancetext::conference output::conference proceedings::conference paper