Ibm Pairs Curated Big Data Service For Accelerated Geospatial Data Analytics And Discovery
2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)(2016)
Abstract
IBM's Physical Analytics Integrated Data Repository and Services (PAIRS) is a geospatial Big Data service. PAIRS contains a massive amount of curated geospatial (or more precisely spatio-temporal) data from a large number of public and private data resources, and also supports user contributed data layers. PAIRS offers an easy-to-use platform for both rapid assembly and retrieval of geospatial datasets or performing complex analytics, lowering time-to-discovery significantly by reducing the data curation and management burden. In this paper, we review recent progress with PAIRS and showcase a few exemplary analytical applications which the authors are able to build with relative ease leveraging this technology.
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Key words
big data analytics, GIS, Hadoop & HBase for geospatial data, data management systems, machine learning
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