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Browsing by Subject "Partitioning techniques"

Now showing items 1-2 of 2

    • Big spatial and spatio-temporal data analytics systems 

      Velentzas P., Corral A., Vassilakopoulos M. (2021)
      We are living in the era of Big Data, and Spatial and Spatio-temporal Data are not an exception. Mobile apps, cars, GPS devices, ships, airplanes, medical devices, IoT devices, etc. are generating explosive amounts of data ...

    • Enhancing Sedona (formerly GeoSpark) with Efficient k Nearest Neighbor Join Processing 

      García-García F., Corral A., Iribarne L., Vassilakopoulos M. (2021)
      Sedona (formerly GeoSpark) is an in-memory cluster computing system for processing large-scale spatial data, which extends the core of Apache Spark to support spatial datatypes, partitioning techniques, indexes, and ...