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Using MapReduce on Large Geographic Datasets

Barry Brumitt, Software Engineer, Google, Inc.

Date: Wednesday, March 28
Time: 3:05pm - 3:25pm
Location: Douglas B

MapReduce is a programming model and library designed to simplify distributed processing of huge datasets on large clusters of computers. This is achieved by providing a general mechanism which largely relieves the programmer from having to handle challenging distributed computing problems such as data distribution, process coordination, fault tolerance, and scaling. While working on Google maps, I've used MapReduce extensively to process and transform datasets which describe the earth's geography. In this talk, I'll introduce MapReduce, demonstrating its broad applicability through example problems ranging from basic data transformation to complex graph processing.