Processing Big Data with MapReduce

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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