NIST Big Data Interoperability Framework: Volume 1, Big Data Definitions [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. 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) - 1500-1 Version 2
Report Number:
1500-1 Version 2
Pub Type: NIST Pubs

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
Created June 26, 2018, Updated February 21, 2019