NIST Big Data Interoperability Framework:
NIST Big Data Interoperability Framework:
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NIST 大数据互操作框架：
DOI：
10.6028/nist.sp.1500-1r2
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发表时间：
2019
影响因子：
4.3
通讯作者：
N. Grady
中科院分区：
文献类型：
--
作者：
Wo L. Chang;N. Grady
NIST的信息技术实验室（ITL）通过为国家测量和标准基础设施提供技术领导，促进了美国的经济和公共福利。ITL开发测试、测试方法、参考数据、概念验证实现和技术分析，以推进信息技术的开发和生产性使用。ITL的职责包括制定管理、行政、技术和物理标准和准则，以经济有效地保护联邦信息系统中除国家安全相关信息以外的信息的安全和隐私。本文件报告了ITL在信息技术方面的研究、指导和推广工作，以及它与工业、政府和学术组织的合作活动。大数据是一个术语，用来描述网络化、数字化、传感器负载、信息驱动的世界中的大量数据。虽然大数据存在机遇，但数据可能会压倒传统的技术方法，数据的增长速度超过了数据分析的科学和技术进步。为了推动大数据的发展，NIST大数据公共工作组（NBD-PWG）正在努力就与大数据相关的重要基本概念达成共识。研究结果发表在NIST大数据互操作性框架系列丛书中。本卷，第1卷，包含大数据的定义和必要的相关术语，为围绕大数据的讨论奠定基础。
The Information Technology Laboratory (ITL) at NIST promotes the U.S. economy and public welfare by providing technical leadership for the Nation’s measurement and standards infrastructure. ITL develops tests, test methods, reference data, proof of concept implementations, and technical analyses to advance the development and productive use of information technology. ITL’s responsibilities include the development of management, administrative, technical, and physical standards and guidelines for the cost-effective security and privacy of other than national security-related information in federal information systems. This document reports on ITL’s research, guidance, and outreach efforts in Information Technology and its collaborative activities with industry, government, and academic organizations. Abstract 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 1, contains a definition of Big Data and related terms necessary to lay the groundwork for discussions surrounding Big Data.