请考虑用它满足您的数据建模需求。
物理数据建模相当于房屋的蓝图。
Physical data modeling can be described best as the blueprints of the house.
数据建模的元素包括创建如下内容。
The elements of data modeling include the creation of the following.
RDA的核心功能不仅仅是数据建模。
数据建模有三层：概念、逻辑和物理。
There are three levels of data modeling: conceptual, logical, and physical.
首先来看一看数据建模增强。
XML：数据建模，XML模式转型。
一块拼图是数据建模，另一块是数据库更改。
One puzzle piece is data modeling and another is database change.
它包括概念数据建模和逻辑数据建模的概念。
It includes the concepts of conceptual and logical data modeling.
数据建模者，负责逻辑和物理仓库数据建模。
A data modeler, who is responsible for both logical and physical warehouse data modeling.
键选择：多维数据建模中的键选择是一个难题。
Key selection: Key selection in multidimensional data modeling is a difficult issue.
在SOA领域，业务流程与数据建模紧密关联。
In an SOA world, business process and data modeling are closely related.
就xml而言，设计活动主要围绕着数据建模。
As far as XML goes, design activities are centered around the data model.
诊断造成内存膨胀的应用程序中的数据建模问题。
Diagnose data modeling problems in the application that contribute to memory bloat.
我认为，那实际上取决于您的初始数据建模方法。
In my opinion, that actually depends upon your initial approach to data modeling.
IBM是业务流程和数据建模工具的领先提供商。
IBM is the leader in providing business process and data modeling tooling.
数据建模已完成。
模型转换是集成应用程序建模与数据建模的核心。
Model transformations are at the core of integrating application modeling with data modeling.
应用程序建模和数据建模并不是件一劳永逸的事。
Application modeling and data modeling should rarely be a one-time shot.
这种模型通常就是数据建模会议的输出或最终结果。
This model is usually the output or the end result of data modeling sessions.
这些是Web服务元数据建模中的重要概念。
Those are the important concepts in modeling Web services metadata.
当使用XML模式对数据建模时，枚举值被显式列出。
When you model data with XML schema, enumerated values are listed explicitly.
在此之前必须考虑到数据建模时可能遇到的一些问题。
Before then you must consider some of the problems you'll come up against while data modelling.
在无模式的文档数据库中，数据建模依然十分重要。
Still with schema less document databases, data modelling is still important.
本文还演示了数据建模师日常工作中常用的主要特性。
This article also demonstrated the main features used on a daily basis by a data modeler.
在分析业务需求时使用的最重要的方法之一是数据建模。
One of the most important approaches used in analyzing business requirements is data modeling.
逻辑数据建模或物理数据建模以及两者之间的所有东西。
Logical data modeling or physical data modeling and everything in between.
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。
All of the attributes that comprise each entity are added later as part of the logical data modeling phase.
与其说这是一个性能问题，不如说这是一个数据建模问题。
This is much more a data modeling question than a performance question.
与其说这是一个性能问题，不如说这是一个数据建模问题。
This is much more a data modeling question than a performance question.
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