建立在数据仓库系统之上。
元数据及其管理是数据仓库系统的核心部件。
Metadata and its management are the kernel parts of data warehouse system.
本文主要分析研究了数据仓库系统中的用户工具。
The user tools in the DW systems, which are used for retrieving information in warehouse, is mainly analyzed and researched.
在文章的最后给出了一个较为典型的数据仓库系统结构。
At the end of the paper a typical architecture of Data Warehouse is presented.
首先从理论上总结了数据仓库系统中维度更新的经典策略。
This paper summarizes the classical strategies of dimensions updating in data warehouse system at first.
数据获取是数据仓库系统中最重要也是最困难的任务之一。
In data warehouse system, data extraction is one of the best important and difficult works.
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.
因此针对这些特点设计适合企业的高性能数据仓库系统是至关重要的。
So it is essential to design a high efficiency data warehouse which is suitable to the enterprise according to these features.
或是研究如c - Store的数据仓库系统创建物化视图的问题。
Alternatively investigate the question of which materialized views to create in a data-warehousing system, such as C-Store.
数据仓库系统的成功操作和使用密切地依赖于多种元数据的有效管理。
The effective management of metadata is indispensable to successfully operate and use the data warehouse system.
本论文的研究成果可用于开发数据仓库系统元数据一致性的增强系统。
Our research can be favorably exploited for developing intelligent system that enforces metadata consistency in the data warehouse system.
黄土高原数据仓库系统以分布式数据仓库为核心，包含多个异质数据源。
The Loess Plateau data warehouse system is a distributed data warehouse including several heterogeneous da-ta sources.
数据仓库中数据的质量如何是直接关系到数据仓库系统成功与否的关键。
Data quality in data warehouse relates to the success of the data warehouse project.
为商业银行财务分析数据仓库系统的实际开发和实施提供理论依据和支持。
The research and the model of article theoretically support the development and implement of the DW of financial analysis.
论文利用基于业务维生命周期的螺旋式开发方法来开发设备管理数据仓库系统。
The paper utilizes spiral development method based on business dimensional lifecycle to develop data warehouse system for equipment management.
性能属性在保证数据仓库模型建设和数据仓库系统建设的质量中扮演关键角色。
Performance property plays a vital role in guaranteeing the quality of data warehouse information model and system design.
另一方面，数据仓库系统在数据分析和决策方面为用户或“知识工人”提供服务。
Data warehouse systems, on the other hand, serve users or "knowledge workers" in the role of data analysis and decision making.
这种方法通常比较适合数据仓库系统，因为所有数据都在一张表里，不需要做表连接。
The approach generally fits well with a data warehouse system since all data is in one table without the need for table joins.
通过在电力营销数据仓库系统中的实际应用，证明了算法的正确性和操作的可行性。
Experiments in electric power marketing data warehouse system indicate that this algorithm has retionalization, correctness, feasibility and high query efficiency.
随后设计了一个应用于电信领域的数据仓库系统结构并介绍了相关的数据仓库知识；
Secondly, it designs architecture of a Data Warehouse used in telecommunication field and introduces related Data Warehouse knowledge.
为此根据数据仓库系统总体框架，提出数据仓库系统中各主要组件的实现技术和方法。
So the implement technology of every main component of data warehouse was proposedbasedon the system collectivity architecture of data warehouse.
数据仓库系统正是一种基于数据分析辅助决策的方案，是数据驱动的决策支持系统的核心。
Data Warehouse system (DWS), as the core part of data-driven decision support system, is one kind of solution based on data analysis.
在讨论建立教育数据仓库基本策略的基础上，深入探讨了教育领域的数据仓库系统设计问题。
On the basis of a discussion on the basic strategy for building the education data warehouse, a study in depth is made of designing education data warehouse system.
对数据仓库的开发流程进行了探讨，最后提出建立基于数据仓库系统的决策支持系统的新方法。
Later Data Mart which is small Data Warehouses and Data Warehouse-based Decision Support System will be discussed.
创建数据仓库系统的过程大致可分为三个步骤：数据库设计和创建、数据迁移、数据查询分析。
To build DW, there are three main steps: designing and creating database, data migrating, querying and analyzing data.
数据仓库的建立是一个不断完善的过程，在论文的最后对国税数据仓库系统的未来提出了展望。
We must know more things about the tax operation, and reinforce the more topic of the data warehouse. At the end of paper, the future of DW in tax department is introduced.
以下部分描述了OLTP环境中的3个特性；然而，每一个特性也都将提高决策支持和数据仓库系统的性能。
The following sections describe three of these features in an OLTP context; however, each of these features will improve the performance of decision support and data warehouse systems as well.
是空间数据仓库系统的主要应用，它通过复杂的空间分析操作，为决策者提供直观易懂的查询结果。
It is the main application of data warehouse systems, and it can present intuitionistic and pellucid result through complicated spatial analysis operation.
结合整个系统的构架过程，本文还详细论述了农作物栽培数据仓库系统建设过程中所涉及的技术细节。
Based upon the construction process of systems, the paper discussed the details of technicality in building of Data Warehouse system for plant culture.
特别是Oracle利用微太阳的技术，开发可以整理销售趋势、定价和库存水平等海量信息的新数据仓库系统。
Oracle has, in particular, used Sun’stechnology to build a new line of data warehousing systems that can sort throughhuge volumes of information like sales trends, pricing and inventory levels.
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