NIST Big Data Interoperability Framework: Volume 7, Big Data Standards Roadmap [Version 2]
Wo L. Chang, Russell Reinsch, NBD-PWG NIST Big Data Public Working Group
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 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.
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
, Reinsch, R.
and NIST, N.
NIST Big Data Interoperability Framework: Volume 7, Big Data Standards Roadmap [Version 2], Special Publication (NIST SP), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.SP.1500-7r1
(Accessed November 30, 2021)