In general, and especially in the “big data” era, there is often a failure to collect sufficient data about the data (metadata). This lack of metadata drastically reduces the potential use of the data, and the attempt to rectify this situation after the fact is often difficult, if not...

The objective of this invention is to transform applications that process big data in arbitrary formats using the MapReduce parallel programming model and executed on the open-source Hadoop platform. Many legacy data-intensive applications do...

StormCenter Communications, Inc. software takes advantage of cloud computing solutions to solve the growing need for real-time collaboration when accessing a Common Operating Picture (COP) from any device without having to give up all...

NASA scientists are uniquely positioned to research and understand the processes affecting the Earth’s climate. To study these important processes, scientists must address the Big Data challenges posed by working with massive amounts of observational and...

Data science is emerging as a critical area of research and technology to advance scientific discovery, knowledge, and decision-making through systematic computational approaches to analyzing massive data sets. The sheer volume of data increase, coupled...

DRAT software overcomes limitations inherent in the Apache Release Audit Tool (RAT), and also brings code auditing and open-source license analysis into the realm of Big Data by using scalable, open-source Apache technologies. Distributed RAT (DRAT) leverages Apache Tika to automatically detect and classify...

DRAT software overcomes limitations inherent in the Apache Release Audit Tool (RAT), and also brings code auditing and open-source license analysis into the realm of Big Data by using scalable, open-source Apache technologies. Distributed RAT (DRAT) leverages Apache Tika to automatically detect and classify...