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Big Data Techniques, Systems, Applications, and Platforms: Case Studies from Academia
2016
Proceedings of the 2016 Federated Conference on Computer Science and Information Systems
Big data is a broad term with numerous dimensions, most notably: big data characteristics, techniques, software systems, application domains, computing platforms, and big data milieu (industry, government, and academia). In this paper we briefly introduce fundamental big data characteristics and then present seven case studies of big data techniques, systems, applications, and platforms, as seen from academic perspective (industry and government perspectives are not subject of this
doi:10.15439/2016f91
dblp:conf/fedcsis/RadenskiGKKNSS16
fatcat:22ekovjsajd5hhilzczvzoay7m