data model (数据模型):描述数据、数据间关系以及数据的约束的概念的一个集成的集合。; 数据模型
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例句与用法
Its objective is to improve the quality of the required system logical data model by the application of relational data analysis ( also known as normalization ) 这个步骤旨在应用关系数据分析(亦称规格化),来改善所需系统的逻辑数据模型之品质。
However, these two views are static . data flow modelling does not show the sequence of processing while logical data modelling does not indicate how the data changes with time 可是,这两个观点是静态的;数据流程模型没有说明工序发生的先后,而逻辑数据模型则没有说明数据如何随著时间而改变。
For database sizing purpose, a required system logical data model will be created by following the task " map business classes to entities " of business architecture definition stage . 3.2 business architecture definition 为资料库规模的目的,在完成业务体系结构定义阶段的把业务类别与实体配对的工作项目后,会制定一个所需系统逻辑资料模型。
This idea comes in two flavors : your physical data schema should drive the development of your objects and that a conceptual / logical data model should be ( almost ) completely developed up front before you begin to design your objects 这种观点有两种版本:物理数据模式应该驱动对象的开发以及,在开始设计对象之前,概念/逻辑数据模型应该基本完全开发出来。
Ibm websphere studio application developer wsad version 5.1 supports developing a logical data model and later exporting it to a database domain like db2, oracle, and so on to create a physical database ibmwebspherestudioapplicationdeveloper(wsad)版本5.1支援开发逻辑资料模型并在随后将其汇出到一个资料库域(像db2,oracle,等等)来建立一个物理的资料库。
logical data modelling is a technique used to produce an accurate model of the information requirements of all or part of an organization, evolving initially from the business view of information requirements to a system processing view 逻辑数据模型是为整个或部分组织的资讯需求,而编制一个准确模型之技巧。方法是从最初由业务观点来看资讯的需求,发展成从系统处理的观点来看这些需求。
In the document, a number of techniques are briefly introduced including user workshop, facilitation, timebox management, parallel development, logical data modeling, business process modeling, function decomposition, interaction analysis, prototyping, cluster analysis, entity state analysis and event dependency analysis . ) (文件会简单介绍多种技巧,包括用户工作坊、领导工作、时间盒管理、并行发展、逻辑数据模式、业务程序模式、功能分解、相互分析、原型开发、组合分析、实体状态分析及事件需求分析。