Processing Big Data with MapReduce
MP4 | Video: AVC 1920x1080 | Audio: AAC 48KHz 2ch | Duration: 1 Hour | 468 MB
Genre: eLearning | Language: English

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.