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Content Tagged with parallel + mapreduce
Welcome to Pig!
Pig is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. The salient property of Pig programs is that their structure is amenab
The Two Flavors of Google
On Hadoop, and how it might eclipse Map/Reduce in the future, as even Google is backing Hadoop for a variety of applications (Map/Reduce is only good for its limited set of tasks)
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Google's MapReduce programming model serves for processing and generating large data sets in a massively parallel manner. We deliver the first rigorous description of the model including its advancement in Google's domain-specific language Sawzall.
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bookmark this on del.icio.usGoogle's MapReduce Programming Model -- Revisited
We revisit the MapReduce programming model in an attempt to provide a rigorous description of the model. We focus on the key abstraction for MapReduce computations; this abstraction is parameterized by the problem-specific ingredients for data extraction