Quinton Johnson joined MATRIC in 2013 as an operations technician to assist in the fabrication, operations and maintenance of large-scale pilot plants. Johnson is a member of MATRIC’s operational support team charged with installation and fitting of pipes and tubing; installation, operation and maintenance of boilers; and, general building and equipment repairs and maintenance.
MATRIC is using ‘big data’ computing to help the Department of Energy’s (DOE) National Energy Technology Laboratory (NETL) to perform or enhance data mining, analysis, simulation and modeling of high volume, velocity, and variety of spatial and non-spatial data. Big data computing is a combination of hardware (computing clusters) and software technologies (Hadoop, Spark, MapReduce) that make it possible to realize value from “Big Datasets” that are too large for a single computer to process. Big data computing shares similarities with high performance computing in that both approaches utilize clusters of computers (cloud or locally hosted) to distribute and accomplish complex tasks. However, big data computing is specifically designed to process and analyze larger scale datasets.