IBM PAIRS: Scalable Big Geospatial-Temporal Data and Analytics As-a-Service

The rapid growth of geospatial-temporal data from sources like satellites, drones, weather modeling, IoT sensors etc., accumulating at a pace of PetaBytes to ExaBytes annually, opens unprecedented opportunities for both scientific and industrial applications. However, the sheer size and complexity of such data presents significant challenges for conventional geospatial information systems (GIS) which are supported by relational geospatial databases and cloud-based geospatial services based on file systems (mostly manifested as object stores or “cold” tape storages).

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