NIST Big Data Interoperability Framework: Volume 7, Standards Roadmap
Wo L. Chang, Russell Reinsch, David Boyd, Carl Buffington
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.
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.
, Boyd, D.
and Buffington, C.
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 October 16, 2021)