Big Data as an industry buzzword doesn’t appear to be fading in popularity any time soon. Big Data is more of a business problem and everyone agrees with the Big Data definitions currently in use that ...
Abstract: MapReduce which was initially proposed to handle big data in a cluster of computers, is becoming a popular programming model for big data processing in cloud computing. When MapReduce is ...
Abstract: This paper explains how the popular, highly abstract MapReduce model of parallel computation (MRC/MPC) can be rooted in reality by showing how to execute MapReduce computations robustly and ...
Lab on Distributed Databases: Hadoop Distributed File System, MapReduce, and Wide-Column Data Models
Please refer to the "Lab Manual on Hadoop Distributed File System, MapReduce, and Wide Column Data Models" for more details. Also refer to the instruction files below for more details: ...
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, ...
It contains an implementation of the MapReduce model. It divides the task into two functions: Mapper and Reducer, and uses a key-value store for efficient communication between the master and ...
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