MapReduce was invented by Google in 2004, made into the Hadoop open source project by Yahoo! in 2007, and now is being used increasingly as a massively parallel data processing engine for Big Data.

University project for Cloud Computing course (MSc Computer Engineering at University of Pisa, A.Y. 2022-23). The goal of this project is to develop and analyze an application, that implements the ...

K-Means is a clustering algorithm that partitions a set of data points into k clusters (Figure 1). The k-means clustering algorithm is commonly used on large datasets and, due to the algorithm's ...

Data-driven neuroscience research is providing new insights in progression of neurological disorders and supporting the development of improved treatment approaches. However, the volume, velocity, 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: Hadoop_Mapreduce is winning more and more attention with its open source distributed parallel computing technology, high efficiency and economy. This paper describes the Hadoop_Mapreduce and ...

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 ...