A Survey of Large-Scale Analytical Query Processing in MapReduce

Enterprises today acquire vast volumes of data from different sources and leverage this information by means of data analysis to support effective decision-making and provide new functionality and services. The key requirement of data analytics is scalability, simply due to the immense volume of data that need to be extracted, processed, and analyzed in a timely fashion. Arguably the most popular framework for con-temporary large-scale data analytics is MapReduce, mainly due to its salient features that include scalability, fault-tolerance, ease of programming, and flexibility.

Provided by: University of Phoenix Topic: Data Management Date Added: Jun 2013 Format: PDF

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