• DocumentCode
    3717353
  • Title

    High performance analysis of big spatial data

  • Author

    David Haynes;Suprio Ray;Steven M. Manson;Ankit Soni

  • Author_Institution
    Minnesota Population Center, University of Minnesota
  • fYear
    2015
  • Firstpage
    1953
  • Lastpage
    1957
  • Abstract
    Every year research institutions produce petabytes of data. Yet, only a small percent of the data is readily accessible for analysis. Terra Populus acts as the bridge between big data sources and researchers. Researchers are provided convenient web applications that allow them to access, analyze, and tabulate different datasets under a common platform. Terra Populus is developing three unique applications. The first application, Paragon, is a prototype parallel spatial database, which aims to extend the functionality of PostgreSQL and PostGIS onto multinode systems. Terra Populus´ Tabulator application employs Parquet on Spark to build dynamic queries for analyzing large population survey data. The last application, Terra Explorer, is an exploratory analysis tool for visualizing the spatial datasets within the repository.
  • Keywords
    "Spatial databases","Big data","Relational databases","Query processing","Sociology","Statistics"
  • Publisher
    ieee
  • Conference_Titel
    Big Data (Big Data), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/BigData.2015.7363974
  • Filename
    7363974