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A lack of expressive techniques to transform and analyze massive data volumes in organizations has led to costly workarounds in data warehousing. One of the first to face the challenge of analyzing petabyte scale data, Google pioneered a software framework called MapReduce for high speed processing of large amounts of both structured and unstructured data. This white paper examines a data analytics tool that brings together the expressive flexibility and performance of the MapReduce framework with the rich functionality and familiarity of ordinary SQL, enabling developers and analysts to do more with business data.
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