Luc Pezet, an Information Engineer,discusses why HPCC Systems was chosen for his company Archway Health Advisors to help solve big data problems in the health care industry.

Dr. Vincent W. Freeh, AssociateProfessor, North Carolina State University talks about how he uses HPCC Systems in his research and programs.

Dr. Borko Furht, Professor and Director of the NSF Industry/University Cooperative Research Center at Florida Atlantic University discusses how they leverage HPCC Systems for their Big Data research.

Many organizations have large amounts of data which have been collected and stored in massive datasets which need be processed and analyzed to provide business intelligence, improve products and services for customers, or to meet other internal data processing requirements. This white paper provides an introduction to the HPCC Platform that solves large data processing problem.

Enterprise Control Language (ECL) is the query and control language developed to manage all aspects of the massive data joins, sorts and builds that truly differentiate HPCC (High Performance Computing Cluster) from other technologies in its ability to provide flexible data analysis on a massive scale. This white paper explores how ECL works and how it tackles data problems.

The principal performance driver of a big data application is the data model in which the big data resides. This paper discusses some of the principle data models that exist and are imposed; and then to argue that an industrial strength big data solution needs to be able to move between these models with a minimum of effort.