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NIST Big Data Interoperability Framework: Volume 7, Standards Roadmap

Published

Author(s)

Wo L. Chang, 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

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.
Created October 21, 2019