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Data-Intensive Text Processing with MapReduce by Chris Dyer, Jimmy Lin

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CHAPTER 7

Closing Remarks

The need to process enormous quantities of data has never been greater. Not only are terabyteand petabyte-scale datasets rapidly becoming commonplace, but there is consensus that great value lies buried in them, waiting to be unlocked by the right computational tools. In the commercial sphere, business intelligence—driven by the ability to gather data from a dizzying array of sources—promises to help organizations better understand their customers and the marketplace, hopefully leading to better business decisions and competitive advantages. For engineers building information processing tools and applications, larger datasets lead to more effective algorithms for a wide range of tasks, from machine translation to spam ...

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