期刊文献+

模型驱动的数据管理在电网企业的实践与应用 被引量:3

Practice and application of model driven data management in power grid enterprise
下载PDF
导出
摘要 随着企业信息化水平和企业精细化管理要求的不断提高,企业对数据标准、主数据、编码统一管理及数据质量检查的需求也随之增强。为实现电力企业数据资源的有效管理,充分发挥数据资产的价值,本文开展了数据管理的探索与实践,针对电力企业在主数据管理、编码管理、数据标准管理、数据质量管理方面的主要问题进行分析,提出了模型驱动的数据管理解决方案。 As the increase of the informationalization level and the delicacy management requirements of the enterprises, there is a great need for unified management of data standard, master data and code, at the same time the request of data quality inspection is rising constantly. Therefore, the power enterprise shall develop the value of data assets in full play for the implement of the effective data resource management. The enterprise needs a model driven data management system which could solve the above problems. After exploration and critical analysis, the research was focusing on the following modules:master data management module, data standard management module, coding unified management module, data quality analysis and management module. According to the requirement of the data management in the electric power enterprises, this article proposed a solution for the Model driven data management.
出处 《电子设计工程》 2015年第6期57-60,66,共5页 Electronic Design Engineering
关键词 主数据管理 标准管理 编码管理 数据质量管理 模型驱动架构SOA master data management standard management coding management data quality management application integration Model Driven Architecture SOA
  • 相关文献

参考文献6

  • 1l_~shin David. Master data management[M]. Morgan Kauf-mann, 2010.
  • 2Berson Alex, Dubov Lawrence. Master data management and customer data integration for a global enterprise[M]. New York: McGraw-Hill, 2007.
  • 3Loser C,Legner C,Gizanis D. Master data management for collaborative service processes [C]//International Conference on Service Systems and Service Management, Research Center for Contemporary Management, Tsinghua University, forthcoming, 2004.
  • 4White A,Newman D,Logan D,et al. Mastering master data management[J]. Gartner Group, Stamford,2006.
  • 5Otto B,Reichert A. Organizing master data management: findings from an expert survey [C]//Proceedings of the 2010 ACM Symposium on Applied Computing. ACM,2010:106- 110.
  • 6Informatica MDM [EB/OL]. http://www.informatica.com/cn/ products/master-data-management/mdm/.

同被引文献47

  • 1胡霞.教育对经济增长贡献率的测算方法综述[J].北方经济(学术版),2007(3):99-101. 被引量:6
  • 2中国科学院可持续发展战略研究组.2006中国可持续发展战略报告[M].北京:科学出版社,2006.
  • 3林毅夫,苏剑.论我国经济增长方式的转换[J].管理世界,2007,23(11):5-13. 被引量:272
  • 4GUST C,MARQUEZ J. International Comparisons of Pro- ductivity Growth: the Role of Information Technology and Regulatory Practices[J]. Labour Economics, 2004,11 ( 1 ) : 33-58.
  • 5LOVE PE D, IRANI Z. An Exploratory Study of Information Technology Evaluation and Benefits Management Practices of SMEs in the Construction Industry[J]. Information & Management, 2004,42 ( 1 ) :227-242.
  • 6J]N W. Thinking About the Contribution of Educational Growth[J]. Exploring Education Development, 2003,32 ( 1 ): 84-86.
  • 7ZHU K,GUO H,DIAO F,et al. A Better Estimate to the Conhribution Rate of Education on Economic Growth in China From 1999 to 2003[J]. Expert Systems with Appli-cations, 2008,34(2):1371-1383.
  • 8KUMBHAKAR S C,NAKAMURA S, HESHMATI A. Esti- mation of Firm-specific Technological Bias,Technical Change and Total Factor Productivity Growth[J]. A Dual- approach Econometric Reviews, 2000, 19:493-515.
  • 9GUO H,DIAO F,ZHU K,et al. A New Method of Soft Computing to Estimate the Economic Contribution Rate of Education in China[J]. Applied Soft Computing,2008,8 (1) :499-506.
  • 10WANG Y,YAO Y. Sources of China's Economic Growth 1952-1999: Incorporating Human Capital Accumulation[J]. China Economic Review, 2003,14 ( 1 ) :32-52.

引证文献3

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部