Processing Big Data with MapReduce

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Frank La Vigne


MapReduce is one of the most important algorithms of our time. Its purpose is to allow large datasets to be processed in parallel using nodes in a compute cluster, and it is part of Hadoop's DNA. Learn how to use Hadoop and MapReduce to handle big-data workloads locally in a VM or remotely on an Azure HDInsight cluster, and learn how to tame big data the Hadoop way.

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