Abstract
Huge amount of data is created due to the advancement in communications, digital sensors, computation and storage, business information, science, government, and society. It is expected that about 4 zettabytes of electronic data are being generated per year. Big Data is a term applied to data sets whose size is beyond the ability of available tools to undertake their acquisition access, analytics in a reasonable amount of time. The goal of this paper is to do a survey on various architectures available/proposed in the literature to meet the big data requirements. The features of these proposed architectures have also been discussed in the paper. The international standard bodies established for the development of big data domain is explored.
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© 2016 Springer Science+Business Media Singapore
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Supriya, B.N., Prakash, S., Akki, C.B. (2016). A Survey on Big Data Architectures and Standard Bodies. In: Satapathy, S., Bhatt, Y., Joshi, A., Mishra, D. (eds) Proceedings of the International Congress on Information and Communication Technology. Advances in Intelligent Systems and Computing, vol 438. Springer, Singapore. https://doi.org/10.1007/978-981-10-0767-5_42
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DOI: https://doi.org/10.1007/978-981-10-0767-5_42
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