摘要
大数据是指大型复杂的结构化或非结构化数据集。大数据技术使组织能够生成、收集、管理、分析和可视化大数据集,并为诊断、预测或其他决策任务提供见解。处理大数据的关键问题之一是采用适当的大数据治理框架,这样可以:①以所需的方式管理大数据,以支持有效机器学习的高质量数据访问;②确保该框架规范存储和处理在相关监管框架内以可信赖的方式收集来自供应商和用户的数据。提出了一个大数据治理框架,指导组织在相关的规则框架内做出更好的基于数据的业务决策,并密切关注数据安全性、隐私性和可访问性。为了说明这一过程,以网络安全大数据治理为例,给出了该框架的一个实现实例。该框架有可能指导不同组织的大数据管理,实现信息共享和协同决策。
Big data refers to large complex structured or unstructured data sets.Big data technologies enable organizations to generate,collect,manage,analyze,and visualize big data sets,and provide insights to inform diagnosis,prediction,or other decision-making tasks.One of the critical concerns in handling big data is the adoption of appropriate big data governance frameworks to(1)curate big data in a required manner to support quality data access for effective machine learning and(2)ensure the framework regulates the storage and processing of the data from providers and users in a trustworthy way within the related regulatory frameworks.This paper proposes a framework of big data governance that guides organizations to make better data-informed business decisions within the related regularity framework,with close attention paid to data security,privacy,and accessibility.In order to demonstrate this process,the work also presents an example implementation of the framework based on the case study of big data governance in cyber security.This framework has the potential to guide the management of big data in different organizations for information sharing and cooperative decision-making.
作者
杨隆志
李洁
诺伊莉莎
汤姆·皮克特
编辑部(翻译整理)
YANG Longzhi;LI Jie;Noe Elisa;Tom Prickett(Department of Computer and Information Sciences,Faculty of Engineering and Environment,The University of Northumbria at Newcastle,Newcastle upon Tyne,UK)
出处
《信息安全与通信保密》
2021年第7期56-66,共11页
Information Security and Communications Privacy
关键词
大数据治理
网络安全
数据质量管理
人工智能
大数据分析
big data governance
cyber security
data quality management
artificial intelligence
big data analysis
