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Contents: Background Using AWS’ Contextual Advertising Hive Sample to Create a feature_index File Creating an Interactive Hadoop on Azure Hive Table from Amazon’s feature_index File Background Amazon Web Services (AWS) introduced its Elastic MapReduce (EMR) feature with an Announcing Amazon Elastic MapReduce post by Jeff Barr on April 2, 2009: Today we are introducing Amazon Elastic MapReduce , our new Hadoop-based processing service. I'll spend a few minutes talking about the generic
MapReduce concept and then I'll dive in to the details of this exciting new service. Over the past 3 or 4 years, scientists, researchers, and commercial developers have recognized and embraced the MapReduce programming model. Originally described in a landmark paper, the MapReduce model is ideal for processing large data sets on a cluster of processors. It is easy to scale up a MapReduce application to jobs of arbitrary size by simply adding more compute power. Here's a very simple overview of the data flow in a typical MapReduce job: ...(Read whole news on source site)



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