A Review: Mapreduce and Spark for Big Data Analytics
نویسندگان
چکیده
In this paper we discuss the various challenges of Big Data and problem arises due to continuous explosion of data resulting from the likes of social media and other online sources to gain access to deeper analysis of their data. This paper discusses two of the comparison of Hadoop Map Reduce and the recently introduced Apache Spark – both of which provide a processing model for analyzing big data. Although both of these options are based on the concept of Big Data, their performance varies significantly based on the use case under implementation. Data growing at very high speed and is having very large volume. Presently, to assemble the large volume of dataset at lesser cost, storage technology and data collection has made it possible for any organization.
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