QCon is a practitioner-driven conference designed for technical team leads, architects, and project managers who influence software innovation in their teams.

Chris Mattmann, Software Designer at NASA

Chris Mattmann

Biography: Chris Mattmann

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 and Director at 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.

Twitter: @chrismattmann

Presentation: Real Data Science at NASA

Track: Real Data Science / Time: Wednesday 11:30 - 12:20 / Location: Mountbatten Room

My vision for data science involves intelligent processes for integrating science software into rapid data production systems, unobtrusively; making efficient use of data transfer systems including automated approaches for their selection; on the appropriate use of cloud computing for burst processing, and archival storage; all with a foundation on open source software specifically at the Apache Software Foundation. These processes are being applied to the next generation of Earth science remote sensing missions; to astrophysics and radio astronomy projects including the Square Kilometre Array, to the U.S. National Climate.
Assessment and to defense activities at DARPA.

Presentation: A Research Agenda and Vision for Big Data at NASA

Track: Big Data Architectures - handling too big, too fast or too versatile data / Time: Friday 15:40 - 16:30 / Location: Churchill Auditorium

I discuss four critical areas emerging in the context of NASA projects in radio astronomy; in snow hydrology and regional climate modeling; climate science, and in intelligence activities that together we must significantly advance to deal with the data deluge across NASA and government agencies.

Intelligent data movement; rapid science algorithm integration; cloud computing for processing and storage; and open source are at the heart of this movement.