元数据管理系统是构建、管理、维护和使用数据仓库系统的核心部件。
Metadata management system is the core of construction and management and maintenance and use data warehouse system.
文中详细介绍了数据仓库的建模、数据抽取与转换、数据存储与管理、元数据管理以及可视化数据分析等技术。
The technologies of data warehouse modeling, data extraction and transformation, data storage and management, metadata management, and visualized data analysis and so on are introduced in detail.
以包钢营销分析数据仓库的构建为背景，对其主题确定、数据结构、数据处理技术、元数据管理提出了解决方案。
Based on the construction of marketing decision analysis data warehouse, a solution of determining subjects, designing data structures, processing data and managing metadata is put forward.
本课题在中国太平洋保险公司（CPIC）建设企业数据仓库（EDW）的项目背景下对BI系统中的元数据管理和应用作了研究。
The issue in China Pacific Insurance Company (CPIC) building enterprise data warehouse (EDW) project against the background of the BI system in the meta-data management and application of research.
随着数据仓库的数据质量问题越来越引起重视，更进一步让人们认识到了元数据管理和应用的重要性。
With the data warehouse data quality issues more attention, more so that people realize that the meta-data management and application of importance.
在此基础上对数据仓库管理中的元数据管理、数据抽取与集成及如何提高数据仓库的性能等作了详细阐述。
On the basis of that, some problems in the management of DW such as Metadata management, data extracting, data integrating and how to improve the performance of the DW are discussed in detail.
在此基础上对数据仓库管理中的元数据管理、数据抽取与集成及如何提高数据仓库的性能等作了详细阐述。
On the basis of that, some problems in the management of DW such as Metadata management, data extracting, data integrating and how to improve the performance of the DW are discussed in detail.
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