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Rethinking Abstractions for Big Data: Why, Where, How, and What
[article]
2013
arXiv
pre-print
Big data refers to large and complex data sets that, under existing approaches, exceed the capacity and capability of current compute platforms, systems software, analytical tools and human understanding. Numerous lessons on the scalability of big data can already be found in asymptotic analysis of algorithms and from the high-performance computing (HPC) and applications communities. However, scale is only one aspect of current big data trends; fundamentally, current and emerging problems in
arXiv:1306.3295v1
fatcat:oevth47mszev3jm7nd2nxxhrda