Abstract

SEPTEMBER 2014 67 Big Data Technologies at JPL Dayton L. Jones, NASA Jet Propulsion Laboratory The author summarizes recent work at the Jet Propulsion Laboratory in four technology areas needed for solving big data challenges: low-power signal processing, real-time analysis using machine learning algorithms, scalable data archiving, and mining and data visualization. While the needs of future large radio-astronomy arrays motived much of this work, the same challenges appear in a wide range of research fields and industries.

Author

Dayton L. Jones

Journal

Computer (IEEE Computer Society)

Paper Publication Date

2014

Paper Type

Astroinformatics

Paper

Jones14.pdf — 181 KB