Buried Alive! Massive Graph Analytics In 20 Lines Or Less
Volcanos, Ebola and Angelina Jolie as seen through the eyes of a data scientist. While data is growing at an exponential rate, data scientists are not, therefore software development efficiencies are invaluable. This session will provide an overview of the HPCC Systems Knowledge Engineering Language (KEL) and present case studies of its use from a graph analytics perspective.