The talk will cover the functionality and genesis of the Apache OODT technology, originating from NASA and now a top-level project alongside of Apache HTTPD, as well as covering Hadoop and other technologies at the Apache Software Foundation (ASF). OODT provides components for file and metadata management, workflow, resource management, science algorithm integration, remote data acquisition and automatic file ingestion. Users can pick their components a la carte, or combine them in unique ways. Many of the core parts of OODT leverage Java technologies (Maven, Ant, Tika, etc.). He'll frame the discussion in terms of some modern Big Data challenges involving the US National Climate Assessment and the International Square Kilometre Array (SKA) project in radio astronomy, two diverse domains that OODT is helping to support.
Chris Mattmann has a wealth of experience in software design, and in the construction of large-scale data-intensive systems. His work has infected a broad set of communities, ranging from helping NASA unlock data from its next generation of earth science system satellites, to assisting graduate students at the University of Southern California (his Alma mater) in the study of software architecture, all the way to helping industry and open source as a member of the Apache Software Foundation. When he's not busy being busy, he's spending time with his lovely wife and son braving the mean streets of Southern California.