在需求分析的结果通过需求验证阶段之后，将成为数据仓库建模的主要输入。
The results of the requirements analysis will be the primary input for data warehouse modeling, after they have passed the requirements validation phase.
介绍了一个可用于数据库和数据仓库建模的CASE工具的设计与实现。
It introduced a design and implementation of a CASE tool used in the database and data warehouse modeling.
对数据仓库的数据建模技术进行了探讨，接下来对数据仓库建模的方法及具体的步骤进行了详细的讨论和分析。
The technology of OLAP based on data warehouse is introduced, and the data model of the OLAP is studied.
数据仓库的建模过程确实是无止境的。
The process of data warehouse modeling can be truly endless.
如何进行数据仓库的建模可能是商业智能领域中最有争议的问题之一，而本文不会进行这方面的讨论。
How to model a data warehouse is probably one of the most controversial issues in the business intelligence field, and this article does not enter that discussion.
维度建模的目标是优化数据仓库数据，以便业务用户轻松查询和分析。
The goal of dimensional modeling is to optimize warehouse data for easy queries and analysis by business users.
维度建模有助于优化数据仓库的查询与分析。
Dimensional modeling helps us optimize our warehouse data for queries and analysis.
我的上两个专栏讨论了我们使用维度建模来组织数据仓库中的数据的原因和方式。
My last two columns discussed why and how we use dimensional modeling to organize the data in a data warehouse.
在数据仓库的设计中，数据建模的每一层都有自己的目的。
Each level of data modeling has its own purpose in data warehouse design.
我在上一专栏中讨论了为何以及怎样利用维度建模，在数据仓库中组织数据。
My last column discussed why and how we use dimensional modeling to organize the data in a data warehouse.
最适合于该工作的是一位有经验的分析员，应具有较强的业务和人员技能以及关于数据仓库和数据建模的合理知识。
The best fit for this job is an experienced business analyst with strong business and people skills, as well as reasonable knowledge of data warehousing and data modeling.
例如，数据仓库架构师和数据建模者可以是同一个人，而领域专家和终端用户可以是同一组人员。
For example, the data warehouse architect and data modeler can be the same person, and the domain experts and end users can be the same group of people.
将该任务分配给有经验的数据仓库专业人士，他们理解业务分析、数据分析和建模。
Assign this task to experienced data warehouse professionals who understand business analysis, data analysis, and modeling.
数据仓库设计和数据建模是计算机科学和IT结合的产物，众所周知、意义重大。
Data warehousing design and data modeling is a well-known, significant blend of computer science and IT.
可以使用DesignStudio的数据建模向导创建这个表(以及数据仓库目标表)。
You can use Design Studio's data modeling wizards to create this table (as well as the data warehouse target tables).
数据建模。数据模型是数据仓库系统的核心部分，它的好坏直接影响到系统的应用效果以及未来扩展性能。
The data model is the nuclear part of the data warehouse system, its quality influences the systematic application result directly and expands performance in the future.
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.
基于ERP建模体系，应用面向对象程序设计工具和关系数据库工具，研究数据仓库元数据实现和管理。
Based on ERP, we apply object oriented programming tool and relation database tool to research the realization and management of the metadata of data warehouse.
在实际应用中，详细论述了采用前述的建模方法进行决策支持系统数据仓库层模型的设计，包括数据建模、关系数据库选择及实现。
In the application of the aforementioned theory, the design of database 's system model on DSS is elaborated, including data modeling, the choice and realization of relational database.
新的建模方法通过在建模过程中引入UML的类图，方便了数据仓库组织构架的细化，并且很好地描述了数据仓库的元数据，使该方法更加适于设计面向主题的数据模型。
The UML class graph is adopted in the new modeling method, which made it more clear to display the whole logic data structure and more convenient to describe the meta-data model of the data warehouse.
本文在论述数据仓库的建模步骤的基础上，通过分析一个企业的现有数据库，提出一种有效的数据仓库模型，并给出了完整的维模式描述。
This paper analyses databases of a enterprise and presents datawarehause modeling for the enterprise. The method is useful for datawarehause modeling of other enterprises.
数据仓库关注决策者的数据建模与分析，而不是构造组织机构的日常操作和事务处理。
Rather than concentrating on the day-to-day operations and transaction processing of an organization, a data warehouse focuses on the modeling and analysis of data for decision makers.
最后，将本文研究的面向对象的数据仓库设计方法应用于某商业银行稽核系统，在系统建模和业务功能实现上取得了显著成效。
In the end, we applied this design method suggested by this article to the bank audit system, and received good effect on system modeling and business function.
本文以基于银行业的互联网上的决策支持系统为背景，研究了数据仓库的建模及其在决策支持系统中的应用。
This paper is based on the background of the WEB Decision Support System for Banking. The DW modeling and its application in DSS are studied.
本文探讨了在银行信贷管理中的数据仓库的建模方法，及其在数据仓库基础上的数据发掘的计算智能方法的应用。
In this paper we discuss the method of building data Warehouse in the loan manage of the bank, and the application of the computing intelligence (AI) in data mining.
数据仓库的数据库建模方案通过实施一个OLTP源数据库的非规范化的副本来实现。
A data warehouse database modeling solution is often best served by implementing a denormalized duplication of an OLTP source database.
接着阐述了数据仓库技术理论，探讨了决策支持系统中数据仓库层的设计方法和软件开发方法，并提出了一种新的多维数据的建模方法。
Then the technical theory of DW is expounded, the methods of DW system's design and its software developing are discussed. Meanwhile, a new framework of DSS is presented.
接着阐述了数据仓库技术理论，探讨了决策支持系统中数据仓库层的设计方法和软件开发方法，并提出了一种新的多维数据的建模方法。
Then the technical theory of DW is expounded, the methods of DW system's design and its software developing are discussed. Meanwhile, a new framework of DSS is presented.
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