Persistent Identifier
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hdl:2014/48983 |
Publication Date
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2019-09-16 |
Title
| An Integrated Data Analytics Platform |
Author
| Armstrong, Edward M. (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019)
Bourassa, Mark A. (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019)
Cram, Tom (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019)
Elya, Jocelyn (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019)
Greguska III, Frank R. (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019)
Huang, Thomas (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019)
Jacob, Joseph C. (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019)
Ji, Zaihua (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019)
Jiang, Yongyao (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019)
Li, Yun (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019)
Quach, Nga (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019)
McGibbney, Lewis (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019)
Smith, Shawn (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019)
Tsontos, Vardis (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019)
Wilson, Brian (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019)
Worley, Steve J. (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019)
Yang, Chaowei (Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2019) |
Point of Contact
|
Use email button above to contact.
Armstrong, Edward M. |
Description
| An Integrated Science Data Analytics Platform is an environment that enables the confluence of resources for scientific investigation. It harmonizes data, tools and computational resources which subsequently enable the research community to focus on the investigation rather than spending time on security, data preparation, management, etc. OceanWorks is a NASA technology integration project to establish a cloud-based Integrated Ocean Science Data Analytics Platform at NASA’s Physical Oceanography Distributed Active Archive Center (PO.DAAC) for big ocean science. It focuses on advancement and maturity by bringing together several NASA open-source, big data projects for parallel analytics, anomaly detection, in-situ to satellite data matchup, quality-screened data subsetting, search relevancy, and data discovery. Our communities are relying on data distributed through data centers such as the PO.DAAC, COAPS, NCAR, and many others to conduct their research. In typical investigations, scientists would engage in: search for data, evaluate the relevance of that data, download it, and then apply algorithms to identify trends. Such workflow cannot scale if the research involves a massive amount of data or multi-variate measurements. NASA’s Surface Water and Ocean Topography (SWOT) mission is expected to produce massive amount of observational data during its 3-year nominal mission. Collections like SWOT challenges all existing Earth Science data archival, distribution and analysis paradigms. In this paper, we will discuss how OceanWorks enhances the analysis of physical ocean data where the computation is done on an elastic cloud platform next to the archive to deliver fast, web-accessible services for working with oceanographic measurements. |
Subject
| Other |