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Big Data in Defence and SecurityLONDON, Sept. 30, 2015 /PRNewswire/ -- Big Data in Defence and Security :From the User's Perspective An Indefinite Definition: What is Big Data? This ambiguity, however, also frames a backlash targeted towards the concept's proponents. There are concerns that the very properties that make data 'big' (such as volume, variety, and velocity) also make data disordered and biased to the conventions established by a given architecture.1 It is argued that obtaining an authoritative data set on any subject is unlikely. The 'fire hose' quality of modern data collection, coupled with the inherent subjectivity of interpretation, brings into question the fidelity that any data set has to reality. Facts in the data are often assumed rather than proven and it is this critique that suggests that the much sought-after 'actionable insights' within data stores are not easily extractable. It is at this intersection where a purposeful definition for emerging Big Data technologies can be established: between the digital capability of mass collection/storage and the human ability to critique/hypothesise. For the purposes of this paper, Big Data can be perceived as a concept that straddles this gulf; a collection of systems that empowers a human user to ask relevant questions of data sets in order to extract some 'actionable insights'. The following sections aim to outline some of the concepts that have driven the adoption of Big Data in the defence and security sector, before going on to detailing existing use cases that are attempting to provide actionable insights. For more information: To view the original version on PR Newswire, visit:http://www.prnewswire.com/news-releases/big-data-in-defence-and-security-300152176.html SOURCE ReportBuyer |