MapReduce Part II
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Developed at Google, MapReduce is a distributed programming model intended for processing massive amounts of data in large cluster. The MapReduce framework has the open source Mule Integration Platform at its core. In this article Eugene Ciurana, Director of Systems Infrastructure at LeapFrog Enterprises, outlines how open source components, particularly Mule, can be utilized with MapReduce. Eugene also shows that writing SOA apps for the Mule integration platform can result as a side-effect of the implementation. This is arguably the most comprehensive article on "how to use Mule for building a system" ever written.
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Developed at Google, MapReduce is a distributed programming model intended for processing massive amounts of data in large cluster. The MapReduce framework has the open source Mule Integration Platform at its core. In this article in TheServerSide.com, Eugene Ciurana, Director of Systems Infrastructure at LeapFrog Enterprises, outlines how open source components, particularly Mule, can be utilized with MapReduce. Eugene also shows that writing SOA apps for the Mule integration platform can result as a side-effect of the implementation. This is arguably the most comprehensive article on "how to use Mule for building a system" ever written.
http://www.theserverside.com/tt/articles/article.tss?l=MapReduceRedux
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