NIST Big Data Interoperability Framework

Published: June 26, 2018


Wo L. Chang, Arnab Roy, Nancy Grady, Russell Reinsch, Mark Underwood, Geoffrey Fox, David Boyd, Gregor von Laszewski


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. *Volume 1, Rev. 1: definition of Big Data and related terms necessary to lay the groundwork for discussions surrounding Big Data. *Volume 2, Rev. 1: Big Data taxonomies developed by the NBD-PWG. *Volume 3, Rev. 1: original 51 Version 1 use cases gathered by the NBD-PWG Use Cases and Requirements Subgroup and the requirements generated from those use cases. 3r1 *Volume 4, Rev. 1: exploration of security and privacy topics with respect to Big Data. *Volume 6, Rev. 1: summarizes the work performed by the NBD-PWG to characterize Big Data from an architecture perspective and presents the NIST Big Data Reference Architecture (NBDRA) conceptual model. *Volume 7, Rev. 1: summarizes the work presented in the other six volumes, an investigation of standards related to Big Data, and an inspection of gaps in those standards. *Volume 8: uses the work performed by the NBD-PWG to identify objects instrumental for the NIST Big Data Reference Architecture (NBDRA). *Volume 9: implementation and modernization of Big Data systems.
Citation: Special Publication (NIST SP) - 1500-1 - 9
Report Number:
1500-1 - 9
Pub Type: NIST Pubs


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
Created June 26, 2018, Updated June 26, 2018