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Abstract: In recent years the MapReduce framework has become one of the most popular parallel computing platform for processing big data. It is frequently used by companies such as Facebook, IBM, and ...

Google introduced the MapReduce algorithm to perform massively parallel processing of very large data sets using clusters of commodity hardware. MapReduce is a core Google technology and key to ...

Abstract: Asynchronous algorithms have been demonstrated to improve scalability of a variety of applications in parallel environments. Their distributed adaptations have received relatively less ...

This is the set of fuzzy join algorithms tested in the paper, 'Fuzzy joins in MapReduce: an experimental study' by B. Kimmett, A. Thomo, and V. Srinivasan. (doi: 10.14778/2824032.2824049) The ...

Finding frequent itemsets is one of the most important fields of data mining. Apriori algorithm is the most established algorithm for finding frequent itemsets from a transactional dataset; however, ...

Design and implementation of different MapReduce jobs used to analyze a dataset on Covid-19 disease created by Our World In Data ...

When the Big Data moniker is applied to a discussion, it’s often assumed that Hadoop is, or should be, involved. But perhaps that’s just doctrinaire. Hadoop, at its core, consists of HDFS (the Hadoop ...