XML: Data Modeling, XML schema transformations.
XML：数据建模，XML模式转型。
The core functions of RDA go beyond just data modeling.
RDA的核心功能不仅仅是数据建模。
Warehouse data modeling vs. operational database modeling.
仓库数据的建模与操作数据库的建模。
Recommendation 4 is related but USES data modeling terminology.
第四项建议与此指导原则相关，但它使用了数据建模术语。
It includes the concepts of conceptual and logical data modeling.
它包括概念数据建模和逻辑数据建模的概念。
Model - Supporting conceptual, logical, and physical data modeling.
模型(Model)-支持概念、逻辑和物理数据模型。
The elements of data modeling include the creation of the following.
数据建模的元素包括创建如下内容。
Visualize - Supporting conceptual, logical, and physical data modeling.
可视化(Visualize)-支持概念数据建模、逻辑数据建模和物理数据建模。
Logical data modeling or physical data modeling and everything in between.
逻辑数据建模或物理数据建模以及两者之间的所有东西。
There are three levels of data modeling: conceptual, logical, and physical.
数据建模有三层：概念、逻辑和物理。
Diagnose data modeling problems in the application that contribute to memory bloat.
诊断造成内存膨胀的应用程序中的数据建模问题。
Key selection: Key selection in multidimensional data modeling is a difficult issue.
键选择：多维数据建模中的键选择是一个难题。
But beyond core data modeling, InfoSphere data architect also helps data architects.
除了核心的数据建模之外，InfoSphereDataArchitect还帮助数据架构师。
Part 4 in this series Outlines the role of conceptual and logical data modeling within SOA.
本系列的第4部分概述了SOA中概念数据建模和逻辑数据建模的作用。
Model transformations are at the core of integrating application modeling with data modeling.
模型转换是集成应用程序建模与数据建模的核心。
One of the most important approaches used in analyzing business requirements is data modeling.
在分析业务需求时使用的最重要的方法之一是数据建模。
DWE Design Studio provides rich logical and physical data modeling functions for data modeling.
DWE DesignStudio为数据建模提供了丰富的逻辑和物理数据建模功能。
So you have use case modeling specialists, or data modeling specialists, or testing specialists.
所以您拥有用例建模专家、或者数据建模专家、或者测试专家。
Thus, the tooling of application modeling and data modeling should support model update capability.
因此，应用程序建模和数据建模工具应该支持模型更新功能。
Proper usage of data modeling tools helps to avoid re-factoring of the application at later stages.
正确使用数据建模工具有助于避免在后续阶段重构应用程序。
The objective is not to limit data modeling to a single database and its related physical data model.
规范化数据模型的目的不是将数据建模限定在单个的数据库和它的相关物理数据模型上。
InfoSphere data Architect can help accelerate multidimensional data modeling from design to deployment.
InfoSphereDataArchitect有助于加快从设计到部署的多维数据建模。
Data warehousing design and data modeling is a well-known, significant blend of computer science and IT.
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。
All of the attributes that comprise each entity are added later as part of the logical data modeling phase.
组成每个实体的所有属性在以后的逻辑数据建模阶段添加。
However, a data modeling tool is not a suitable interface for reaching a large or business-driven audience.
但是，要让广大的或是业务驱动的受众获取信息，数据建模工具并不是最适合的接口。
However, from the standpoint of an object-oriented approach, data modeling is very similar to class modeling.
然而，从面向对象方法的角度来看，数据建模非常类似于类建模。
Modern database technology borrows this phrase in naming the data modeling behind various database technologies.
现代数据库技术借用了这一术语来命名不同数据库技术之下的数据建模时。
Checking the data quality is not a trivial job; it requires knowledge of both data modeling and the business domain.
检查数据质量并非是一项普通工作；它同时需要数据建模和商业领域的知识。
Data modeling is the process of creating abstract artifacts that describe how data is represented, stored, and used.
数据建模是指创建抽象的工件以描述如何表示、存储和使用数据的一个过程。
To avoid obsolescence, application modeling and data modeling need to be iterative and deliver business value quickly.
为了避免过时，应用程序建模和数据建模需要反复进行，并迅速转化为业务价值。
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