data modeling
数据建模
2025-09-06 22:21 浏览次数 6
数据建模
Application modeling and data modeling should rarely be a one-time shot.
应用程序建模和数据建模并不是件一劳永逸的事。
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。
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。
It is difficult to find such people, but even if you can, it is more difficult to use their time for data modeling rather than performing their standard business duties.
找到这样的人是很困难的,但即使可以,使用他们的时间来进行数据建模也比让他们尽普通业务职责更加困难。
As a data modeler or a data architect, you may need to work not only with a data modeling tool, but also with version control tools, requisite tools, and multiple data models.
作为一名数据建模师或数据架构师,不仅需要使用数据建模工具,还需要使用版本控制工具、一些必备工具和多个数据模型。
As a nifty side-effect, they're teaching developers to approach data modeling from a domain-oriented perspective, rather than a relational one.
它们还有一个极好的副作用,即允许开发人员从一个面向域的视角、而不是关系视角进行数据建模。
Consider it for your data modeling needs.
请考虑用它满足您的数据建模需求。
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。
One puzzle piece is data modeling and another is database change.
一块拼图是数据建模,另一块是数据库更改。
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。
A well-formed business glossary can form a valuable input into canonical data modeling activities, providing the core definitions required to establish entities and relationships within these models.
良好的业务术语表可以为规范化数据建模活动提供有价值的输入,提供在这些模型中创建实体和关系所需的核心定义。
Each level of data modeling has its own purpose in data warehouse design.
在数据仓库的设计中,数据建模的每一层都有自己的目的。
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。
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。
This model is usually the output or the end result of data modeling sessions.
这种模型通常就是数据建模会议的输出或最终结果。
Since the business computing environment changes from time to time, the separation of logical and physical data modeling will help stabilize the logical models from phase to phase.
因为业务计算环境随时间变化,所以逻辑和物理数据建模的分离将帮助稳定一个阶段到另一阶段的逻辑模型。
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。
In this introductory article, I will discuss the basics of data modeling and introduce the techniques that I will cover in the next three articles.
在这篇介绍性的文章,我将讨论数据建模的基本原理,并介绍在后面三篇文章中将用到的技术。
Although the business glossary will be an input into the canonical data modeling activities, it is important to realize that a business glossary does not replace a canonical data model.
尽管业务术语表是规范化数据建模活动的输入,但是一定要认识到,业务术语表并不能替代规范化数据模型。
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。
The resulting alignment of process, service/message, and data models accelerates the design, leverages normative guidance for data modeling and avoids unnecessary transformations...
过程、服务/消息和数据模型的规范化会加快设计速度,利用数据建模的规范化方针,避免不必要的转换。