“Traditional supercomputing technology allows us to run complex physics applications and visualize detailed simulations. However, these systems are not ideal for the informatics challenge of sorting through petabytes of data to find correlations and generate hypotheses. Our tests show that the Data Analytics Supercomputer (DAS) is a strong platform for helping us address these challenges.” - Dr. Richard Murphy
For Big Data Processing and Analytics, HPCC Systems® from LexisNexis® Helps Uncover Opportunities and Pinpoint Fraud, Waste and Abuse.
A LexisNexis customer, the Office of the Medicaid Inspector General (OMIG) of a northeast state, suspected fraud among a group of state Medicaid recipients, all of whom were living in the same high-end condominium complex—and all of whom were on Medicaid.
Learn about Pinterest and the role it can play in companies' marketing program. Engauge, a marketing agency, created a POV on Pinterest using the HPCC Systems big data platform and machine learning library to analyze the data and usage patterns.
Amy Apon, Professor at the School of Computing at Clemson University discuss why Clemson has chosen HPCC Systems to include in their Big Data Systems Lab for students and researchers. Hear how Clemson University was able to train students and researchers on HPCC Systems in about a day, so that they could start working with the platform for their projects.
Mohammad Rashti, Project Manager and Research Scientist from RNET Technologies, discusses how he leverages the HPCC Systems platform and ECL programming language in his projects.
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.
Victor Herrera, Graduate Student and Research Assistant at Department of Computer Science at Florida Atlantic University, talks about how the ease of use in ECL helps him with developing machine learning algorithms for his work.
Elsevier decided to enhance the analytical capabilities of their first generation SciVal solutions to better serve research institutions in generating hard facts to support their decision making.
The use of HPCC Systems by SciVal has brought two enormous benefits to its users. Firstly, users can customize their own visualizations, which are generated in just a few seconds from almost 40 terabytes of data currently underpinning the tool.