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NIST Big Data Interoperability Framework: Volume 5, Architectures White Paper Survey

Published

Author(s)

Wo L. Chang, Sanjay Mishra, NBD-PWG NIST Big Data Public Working Group

Abstract

Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. While opportunities exist with Big Data, the data can overwhelm traditional technical approaches and the growth of data is outpacing scientific and technological advances in data analytics. To advance progress in Big Data, the NIST Big Data Public Working Group (NBD-PWG) is working to develop consensus on important, fundamental concepts related to Big Data. The results are reported in the NIST Big Data Interoperability Framework series of volumes. This volume, Volume 5, presents the results of the reference architecture survey. The reviewed reference architectures are described in detail, followed by a summary of the reference architecture comparison.
Citation
Special Publication (NIST SP) - 1500-5
Report Number
1500-5

Keywords

Big Data, Big Data management, Big Data storage, Big Data analytics, application interfaces, Big Data infrastructure, reference architecture, architecture survey

Citation

Chang, W. , Mishra, S. and NIST, N. (2015), NIST Big Data Interoperability Framework: Volume 5, Architectures White Paper Survey, Special Publication (NIST SP), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.SP.1500-5 (Accessed December 3, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created October 22, 2015, Updated January 27, 2020