An integrated data analytics platform

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 to 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 for big ocean science 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 opensource, 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 available through distributed data centers to conduct their research. In typical investigations, scientists would (1) search for data, (2) evaluate the relevance of that data, (3) download it, and (4) then apply algorithms to identify trends, anomalies, or other attributes of the data. Such a workflow cannot scale if the research involves a massive amount of data or multi-variate measurements. With the upcoming NASA Surface Water and Ocean Topography (SWOT) mission expected to produce over 20PB of observational data during its 3-year nominal mission, the volume of data will challenge all existing Earth Science data archival, distribution and analysis paradigms. This paper discusses 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.

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Copyright Author(s) 2019. This work is licensed under a Creative Commons Attribution 4.0 International license.


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Author Armstrong, Edward M.
Bourassa, Mark A.
Cram, Thomas A.
DeBellis, Maya
Elya, Jocelyn
Greguska, Frank R.
Huang, Thomas
Jacob, Joseph C.
Ji, Zaihua
Jiang, Yongyao
Li, Yun
Quach, Nga
McGibbney, Lewis
Smith, Shawn
Tsontos, Vardis M.
Wilson, Brian
Worley, Steven J.
Yang, Chaowei
Yam, Elizabeth
Publisher UCAR/NCAR - Library
Publication Date 2019-07-02T00:00:00
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Topic Category geoscientificInformation
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Metadata Date 2023-08-18T19:20:11.243331
Metadata Record Identifier edu.ucar.opensky::articles:22623
Metadata Language eng; USA
Suggested Citation Armstrong, Edward M., Bourassa, Mark A., Cram, Thomas A., DeBellis, Maya, Elya, Jocelyn, Greguska, Frank R., Huang, Thomas, Jacob, Joseph C., Ji, Zaihua, Jiang, Yongyao, Li, Yun, Quach, Nga, McGibbney, Lewis, Smith, Shawn, Tsontos, Vardis M., Wilson, Brian, Worley, Steven J., Yang, Chaowei, Yam, Elizabeth. (2019). An integrated data analytics platform. UCAR/NCAR - Library. http://n2t.net/ark:/85065/d7js9tjj. Accessed 19 March 2025.

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