面向大数据的治理框架研究

Research on Data Governance Framework for Big Data

数据治理是实现持续改进数据质量、实现数据价值的基础。在传统行业领域,以DAMA国际、IBM为典型的组织建立了数据管理知识框架和数据管理流程,为金融、物流等多领域提供数据治理实施指导。当下,我们正在被数据淹没,来自工作、生活各个方面的海量数据接踵而至。该文提出一个大数据治理框架,对其技术架构和组织机构做了阐述,并结合一个智能制造工业4.0系统为例进行了阐述。该框架对于整理数据资产、构建数据仓库、建立数据关联,以及运用大数据分析技术、实现基于数据的辅助决策有着现实意义。

Data Governance is fundamental for continuously improvement on data quality and realization of its value.In traditional area,organiza tions such as DAMA Internationa land IBM build data governance framework and data management process,and provide guidance for finance and logistics industries.People are flooded by tremendous amount of data from every aspect of our life and work.This paper presents a big data governance framework,give sdetailed explanation of its technique architecture and ins titutiona lstructure,and explains it with an example of an Industry 4.0 intelligent manufacturing business.This data governance framework can help industry to process data assets,construct data ware house,build data links,and improve decision making with big data analysis.