ApacheCon NA 2011

Emily Law

Ms. Emily Law has over twenty years of experience in the research, development and management of complex information systems. Ms. Law has worked for both large and small organizations having served on a diverse set of projects during her career. Since 1996, Ms. Law has been working at NASA’s Jet Propulsion Laboratory where she has provided leadership and management in the architecture, development and operations of highly distributed ground data systems for planetary exploration and earth science. She currently serves as a deputy program manager and development manager to two separate directorates covering data systems in solar system research and earth science. In 2005, she was the recipient of the NASA Exceptional Achievement Medal in recognition of outstanding contributions to the NASA Deep Space Network. She currently leads operations for NASA’s Planetary Data System, NASA’s official archive to manage results from solar system research; and leads development of the Lunar Mapping and Modeling Project data management infrastructure and portal in support of Lunar Exploration activities. Ms. Law has B.S. degrees in Math and Computer Science from Cal State Long Beach and is a graduate of University of Southern California where she holds a M.S. degree in Computer Engineering.

Using OODT @ JPL data systems
November 9 2:30PM
Apache™ OODT (Object-Oriented Data Technology) is being used to support multiple science data systems at NASA's Jet Propulsion Laboratory (JPL). In the scientific data systems domain, one of the critical functions that data systems must provide is to enable users to efficiently discover, find, access, and readily utilize useful science content from NASA’s increasingly large volumes of multi-mission, multi-instrument science data heterogeneously distributed among NASA’s data sources at various geographic locations.

In the past, when users want to analyze or retrieve these science data, they had to leverage various custom-built tools. Using OODT that provides transparent access to distributed resources, functionality for data discovery and query optimization, as well as distributed processing and virtual archives; JPL data systems can handle data from various sources in a uniform way.

In this talk, we will describe our experience over the past several years in leveraging and deploying OODT in our science data systems. We will outline the software engineering challenges that we faced, addressed, and along the way using OODT. We will describe several large-scale deployments of OODT, and the manner in which OODT helped us to address the data discovery and access challenges. We will also relate the lessons we have learned drawing from our experience.

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