Ibm Pairs Curated Big Data Service For Accelerated Geospatial Data Analytics And Discovery

2016 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA)(2016)

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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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