Will New Developments Help Spur Greater MapReduce/Hadoop Use in the Enterprise?
There have been a number of recent developments pertaining to the use of MapReduce1 and its open source equivalent, Hadoop.2 These developments are important because they should help spur greater use of MapReduce and Hadoop by traditional enterprises looking to take advantage of their big data assets by implementing applications that can rapidly process vast amounts of data in parallel on large clusters of commodity hardware. These new tools provide organizations with better options for implementing, managing, and using MapReduce applications -- particularly those based on the Hadoop open source implementation.
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