Chang, W.
, Reinsch, R.
, Boyd, D.
and Buffington, C.
(2019),
NIST Big Data Interoperability Framework: Volume 7, Standards Roadmap, Special Publication (NIST SP), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.SP.1500-7r2
(Accessed April 25, 2024)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
NIST Big Data Interoperability Framework: Volume 7, Standards Roadmap
Published
Author(s)
, Russell Reinsch, David Boyd, Carl Buffington
Abstract
While opportunities exist with Big Data, the data can overwhelm traditional technical approaches. 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 (BDIF) series of volumes. This volume, Volume 7, contains summaries of the work presented in the other six volumes, an investigation of standards related to Big Data, and an inspection of gaps in those standards.Citation
Special Publication (NIST SP) - 1500-7r2
Report Number
1500-7r2
NIST Pub Series
Pub Type
NIST Pubs
Download Paper
Keywords
Big Data, Big Data Application Provider, Big Data characteristics, Big Data Framework Provider, Big Data standards, Big Data taxonomy, Data Consumer, Data Provider, Management Fabric, reference architecture, Security and Privacy Fabric, System Orchestrator, use cases.
Citation
Created October 21, 2019, Updated January 7, 2020