Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY
Jason Loveland

Jason Loveland
Software Engineer Stf., Lockheed Martin

Website

Jason Loveland is a software architect at Lockheed Martin IS&GS, with 12 years of professional experience. Jason is responsible for leading research and development programs applying big data applications and advanced analytics for space systems and cyber security domains. He has expertise in enterprise architecture, software engineering, modeling and simulation, big data, and cloud solutions.

Jason holds a Bachelors in Computer Engineering from Villanova University. He also holds a Masters in Engineering from Old Dominion University.

Sessions

11:20am–12:00pm Thursday, 10/01/2015
Hadoop Use Cases
Location: 1 E12/ 1 E13 Level: Intermediate
Haden Land (Lockheed Martin IS&GS), Jason Loveland (Lockheed Martin)
Average rating: ****.
(4.75, 4 ratings)
Lockheed Martin builds unmanned and manned human space systems, which require systems that are tested for all possible conditions – even for unforeseen situations. We present a test system that is a learning system built on big data technologies, that supports the testing of the Orion Multi-Purpose Crew Vehicle being designed for long-duration, human-rated deep space exploration. Read more.