Abstract: With the exponential growth of data and the high demand for the analysis of large datasets, the MapReduce framework has been widely utilized to process data in a timely, cost-effective ...

The sheer volume of ‘Big Data’ produced today by various sectors is beginning to overwhelm even the extremely efficient computational techniques developed to sift through all that information. But a ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

The point is the basic object of our implementation on which all the operations are executed. The point represents both a single point, that can be a data point or a centroid, and a sum of points, ...

MapReduce is a programming model developed for distributed computation on big data sets in parallel. A MapReduce model contains a map function, which performs filtering and sorting, and a reduce ...