NIST Big Data Interoperability Framework: Volume 6, Big Data Reference Architecture
Wo L. Chang, Orit Levin, David Boyd, 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 series of volumes. This volume, Volume 6, summarizes the work performed by the NBD-PWG to characterize Big Data from an architecture perspective, presents the NIST Big Data Reference Architecture (NBDRA) conceptual model, and discusses the components and fabrics of the NBDRA.
Big Data, reference architecture, System Orchestrator, Data Provider, Application Provider, Framework Provider, Data Consumer, Security and Privacy Fabric, Management Fabric, use cases, Big Data characteristics
, Levin, O.
, Boyd, D.
and NIST, N.
NIST Big Data Interoperability Framework: Volume 6, Big Data Reference Architecture, Special Publication (NIST SP), National Institute of Standards and Technology, Gaithersburg, MD, [online], https://doi.org/10.6028/NIST.SP.1500-6
(Accessed November 30, 2021)