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NIST Big Data Interoperability Framework: Volume 1, Definitions

Published

Author(s)

Wo L. Chang, Nancy Grady

Abstract

Big Data is a term used to describe the large amount of data in the networked, digitized, sensor-laden, information-driven world. The growth of data is outpacing scientific and technological advances in data analytics. Opportunities exist with Big Data to address the volume, velocity and variety of data through new scalable architectures. 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 (NBDIF) series of volumes. This volume, Volume 1, contains a definition of Big Data and related terms necessary to lay the groundwork for discussions surrounding Big Data.
Citation
Special Publication (NIST SP) - 1500-1r2
Report Number
1500-1r2

Keywords

Big Data, Big Data Application Provider, Big Data Characteristics, Big Data Definitions, Big Data Framework Provider, Big Data Taxonomy, cloud, Data Consumer, Data Provider, data science, Internet of Things (IoT), machine learning, Management Fabric, Reference Architecture, Security and Privacy Fabric, System Orchestrator, use cases.

Citation

Chang, W. and Grady, N. (2019), NIST Big Data Interoperability Framework: Volume 1, Definitions, Special Publication (NIST SP), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.SP.1500-1r2 (Accessed December 1, 2021)
Created October 21, 2019, Updated January 7, 2020