NIST Big Data Interoperability Framework: Volume 2, Big Data Taxonomies [Version 2]

Published

June 26, 2018

Author(s)

Wo L. Chang, Nancy Grady, 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 (NBDIF) series of volumes. This volume, Volume 2, contains the Big Data taxonomies developed by the NBD-PWG. These taxonomies organize the reference architecture components, fabrics, and other topics to lay the groundwork for discussions surrounding Big Data.

Citation

Special Publication (NIST SP) - 1500-2 Version 2

Report Number

1500-2 Version 2

NIST Pub Series

Special Publication (NIST SP)

Pub Type

NIST Pubs

Supercedes Publication

NIST Big Data Interoperability Framework: Volume 2, Big Data Taxonomies

Download Paper

https://doi.org/10.6028/NIST.SP.1500-2r1

Keywords

Big Data, Big Data Application Provider, Big Data characteristics, Big Data Framework Provider, Big Data taxonomy, Data Consumer, Data Provider, Data Science, Management Fabric, Reference Architecture, Security and Privacy Fabric, System Orchestrator, use cases

Citation

Chang, W. , Grady, N. and NIST, N. (2018), NIST Big Data Interoperability Framework: Volume 2, Big Data Taxonomies [Version 2], Special Publication (NIST SP), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.SP.1500-2r1 (Accessed December 15, 2024)