Antares : a scalable, efficient platform for stream, historic, combined and geospatial querying
Traditional methods for storing and analysing data are proving inadequate for processing \Big Data". This is due to its volume, and the rate at which it is being generated. The limitations of current technologies are further exacerbated by the increased demand for applications which allow users...
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University of Newcastle upon Tyne
2016
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.703162 |