The recent explosion of interest in analyzing and mining “Big Data” across almost all sectors of science and industry has data scientists looking for new ways to model data so as to accurately represent it and facilitate the gleaning of insights and knowledge from the data. Graph representations, while certainly not a new concept, are noteworthy because of the timely and relevant situations and phenomena that can be modeled using graph-like data structures.  What is new and innovative is the development of tools and techniques to operate on graphs at the Big Data scale.  “This development now has organizations and individuals looking for specialized training and education in graph analytic techniques,” said Amarnath Gupta, director of the Advanced Query Processing Laboratory, which is part of SDSC’s Science Research & Development division. To continue reading, please visit https://www.sdsc.edu/News%20Items/PR20150402_graph_analytics.html.