Let's start by looking at the data-modeling enhancements.
首先来看一看数据建模增强。
Solutions encompass all forms, scripts, and data-modeling elements for a single application.
解决方案涵盖单个应用程序的所有表单、脚本和数据建模元素。
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。
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。
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。
This is critical in allowing existing data modeling to be harvested into a single environment and, ultimately, a single model.
这对于将已有数据建模的成果集中到单个的环境，并最终集中到单个模型至关重要。
We'd be moving well into architecture, design, data modeling, and prototypes.
我们正很好的向架构。设计、数据建模和原型前进。
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。
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。
Its library server component supports both the data modeling of the loan application and the process modeling of the loan application process.
它的库服务器组件既支持贷款申请的数据建模，也支持贷款申请过程的过程建模。
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。
The MDD4J reports show you how the implementation of collections and other types of data modeling can contribute to excessive memory consumption.
MDD4J报告可为您显示集合的实现和其他类型的数据建模是怎样造成过度内存消耗的。
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。
RDA provides extensive data modeling capabilities that allow data models to be defined at different levels of abstraction.
RDA提供大量的数据建模功能，以便在不同级别的抽象上定义数据模型。
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。
To avoid such obsolescence, business process and data modeling needs to be iterative and deliver business value quickly.
为了避免这种情况，业务流程和数据建模需要反复进行并迅速转化为业务价值。
Rules of this nature arise during informational analysis, either as part of the business object model or logical data modeling.
这种规则出现在信息分析阶段，可能作为业务对象模型的一部分，也可能作为逻辑数据建模的一部分。
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。
The physical data modeling applies physical constraints, such as space, performance, and the physical distribution of data.
物理数据建模应用物理约束，如空间、性能以及数据的物理分布。
Since ER modeling is not included in this article, this section will discuss dimensional data modeling, which is the most important data modeling methodology in data mart design.
因为本文没有包括ER建模，所以本小节将讨论维度数据建模，这是数据集市设计中最重要的数据建模方法。
Unlike the conceptual data modeling phase, where a few attributes may be shown for illustration purposes only, all of the attributes for each entity must be included during logical data modeling.
在概念数据建模阶段，只显示一些作为演示的属性，而在逻辑数据建模期间，必须将每个实体的所有属性包括进来。
The core functions of RDA go beyond just data modeling.
RDA的核心功能不仅仅是数据建模。
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。
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。
The administrative users are able to execute all the data modeling operations like itemtype creation, defining ACLs, and so on.
管理用户能执行所有数据建模操作，例如项目类型创建、定义ACL，等等。
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。
Conceptual data modeling drives the initial broad specification within the canonical data model, and logical data modeling adds further detail within that same model.
概念化数据建模驱动规范化数据模型中最初宽度的规范，而逻辑数据建模则在同一个模型中增加进一步的细节。
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。
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。
Model - Supporting conceptual, logical, and physical data modeling.
模型(Model)-支持概念、逻辑和物理数据模型。
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