Data intensive applications are one of the most critical real-time applications which are
desired in most of the new-normal practices such as recommendation systems, social media …

Heterogeneous data types, widely distributed data sources, huge data volumes, and large-
scale business-alliance partners describe typical global supply chain operational …

The prevalence of big data analytics in almost every large-scale software system has
generated a substantial push to build data-intensive scalable computing (DISC) frameworks …

Big Data is reforming many industrial domains by providing decision support through
analyzing large data volumes. Big Data testing aims to ensure that Big Data systems run …

Big Data is considered proprietary asset of companies, organizations, and even nations.
Turning big data into real treasure requires the support of big data systems. A variety of …

Big Data is a big affair of discussion these days. It is usually used everywhere from
newspaper to technical magazines from social media to journals. The term Big Data refers to …

Big Data, the new buzz word in the industry, is data that exceeds the processing and analytic
capacity of conventional database systems within the time necessary to make them useful …

Big Data programs are those that process large data exceeding the capabilities of traditional
technologies. Among newly proposed processing models, MapReduce stands out as it …

New processing models are being adopted in Big Data engineering to overcome the
limitations of traditional technology. Among them, MapReduce stands out by allowing for the …

MapReduce (MR) is the most popular solution to build applications for large-scale data
processing. These applications are often deployed on large clusters of commodity …