Resumen

HERNANDEZ DOMINGUEZ, Antonio  y  HERNANDEZ YEJA, Adrian. About MapReduce + Hadoop application in the treatment of Big Data. Rev cuba cienc informat [online]. 2015, vol.9, n.3, pp. 49-62. ISSN 2227-1899.

MapReduce+ Hadoop is a programming model that is used by dissimilar companies engaged in software development in the world, including Google and Yahoo. The model provides support for parallel computing on large data sets (Big Data) in groups of computers. This article focuses on the evaluation of this interesting technique for efficient retrieval over large volumes of data. Meanwhile this technique allows for the necessary capabilities that should tell a massive database of information, both from the perspective of storage and indexing techniques, and distribution of queries, scalability and performance in heterogeneous environments.

Palabras clave : MapReduce; Hadoop; Big Data; parallel computing.

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