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Data-Intensive Text Processing with MapReduce - Synthesis Lectures on Human Language Technologies Author: Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more c... more »
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