International Journal of Computer Applications
Data analytics has been rapidly growing in a variety of application areas like mining business intellect for processing the huge amount of data. MapReduce programming paradigm adds itself well to these data-intensive analytics jobs, given its one of the well-known ability to scale-out and force several machines to parallel process data. This paper introduces a detailed analysis of big data over cloud computing with several mapped techniques from system and application aspects. Here, in this paper, the authors say that such mapper and reducer based analytics provide a better result over cloud platform.