Map-reduce is a programming model popularized by Google since 2004. It's used with large-
scale datasets and processing data on a shared-nothing cluster. Map-Reduce accomplish …

This paper analyses MapReduce join strategies used for big data analysis and mining
known as map-side and reduce-side joins. The most used joins will be analysed in this …

Map Reduce is used to handle and support massive data sets. rabidly increasing in data
size, and big data are imperative today to make an analysis of this data. Map-Reduce gets …

Objective: MapReduce is a programming model used to support massive data sets. Big data
are the most important issue today to analyze these data. Methods/Statistical Analysis …

Map-Reduce are a programming model which is widely used to extract valuable information
from enormous volumes of data. Map-reduce designed to support heterogeneous datasets …

What-if analysis focuses on analysis on hypothetical scenarios based on historical data.
Therefore, it can provide more meaningful information than classical OLAP (on-line analysis …

In today's aircraft, system complexity increases are making it particularly challenging for
engineers to validate systems architectures. To ease this burden, the integration test rig …

So far, many studies on join operations on MapReduce have already been proposed. Some
of those studies focus on the low-selectivity joins that are frequently used in query …

Analyzing large data sets is gaining more importance because of its wide variety of
applications in parallel and distributed environment. Hadoop environment gives more …