The competent software architecture plays a crucial role in the difficult task of big data
processing for SQL and NoSQL databases. SQL databases were created to organize data …

In the last two decades, the continuous increase of computational power has produced an
overwhelming flow of data which has called for a paradigm shift in the computing …

A prominent parallel data processing tool MapReduce is gaining significant momentum from
both industry and academia as the volume of data to analyze grows rapidly. While …

Timely and cost-effective analytics over “Big Data” is now a key ingredient for success in
many businesses, scientific and engineering disciplines, and government endeavors. The …

With the rapid growth of emerging applications like social network analysis, semantic Web
analysis and bioinformatics network analysis, a variety of data to be processed continues to …

MapReduce has emerged as a viable competitor to database systems in big data analytics.
MapReduce programs are being written for a wide variety of application domains including …

Enterprises today acquire vast volumes of data from different sources and leverage this
information by means of data analysis to support effective decision-making and provide new …

Hyracks is a new partitioned-parallel software platform designed to run data-intensive
computations on large shared-nothing clusters of computers. Hyracks allows users to …

MapReduce is a framework for processing and managing large-scale datasets in a
distributed cluster, which has been used for applications such as generating search indexes …

Context: In recent years, the valuable knowledge that can be retrieved from petabyte scale
datasets–known as Big Data–led to the development of solutions to process information …