• Data Design Project typically tracks the life cycle of a database.

    一个数据设计项目通常跟踪一个数据库的生命周期。

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  • Changes are represented by Data Design Projects at particular points in time.

    Data DesignProjects在特定的时间点上表示变更。

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  • The data model has been created under your data design project, named Migrated in the example shown in Figure 11.

    数据模型在数据设计项目下创建,本例中命名为Migrate,如图11所示。

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  • But because we are going to work with data models, you need a specific type of project, called data design project.

    由于我们要使用数据模型,因此需要指定项目类型为数据设计项目。

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  • The research topic of this paper is the mobile phone client system screen and data design in enterprise applications.

    本文的研究内容是在企业级应用中手机终端设备系统的界面和数据的设计。

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  • You can have different types of projects on the same workspace (in other words, data design and data development projects).

    同一个工作区中可以有不同类型的项目(即数据设计和数据开发项目)。

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  • In more complex databases, a data Design Project can be used to manage the life cycle of a particular database application.

    在更复杂的数据库中,可以使用Data DesignProject来管理一个特定数据库应用程序的生命周期。

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  • Utilizing the data design features of RDA and combining this with DB2 9, you have full control over all of your information assets.

    利用RDA的数据设计特性并与DB29 相结合,就可以全面控制所有信息资产。

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  • In some situations, you might find it convenient to create a connection object without the assistance of any data design tools.

    在某些情况下,您可能认为没有任何资料设计工具协助之下,就可以很方便建立连接物件。

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  • Using the database, the data design and choice for main parts are realized and reliable data are provided for simulation models.

    通过采用数据库技术,实现了主要部件的设计和选择,并且为计算模型提供了可靠数据。

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  • The success of this approach assumes that lower-level work products, such as architecture and data design, have been generated previously. 11.

    这种方法的成功是假定那个低层次工作产品,比如构架和数据设计,先前已经生成了。

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  • The project's objects are created based on your actions (for example, when creating a new data model under a data design project and so forth).

    项目的对象是由您通过一些操作创建(例如在一个数据设计项目中创建一个新的数据模型,等等)。

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  • Most relational data design books have pages upon pages of discussion on proper normalization of names and how to avoid design traps with names.

    多数关系数据设计书籍都花费相当的篇幅讨论如何正确地规范化姓名和避免姓名带来的陷阱。

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  • In SOA, the service design lifecycle is very iterative, but from a data design linage perspective, you can see the following sequence of activities.

    在SOA中,服务设计生命周期是迭代式的,但是从数据设计的角度来看,会有以下一系列活动。

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  • From the logical data model File page, accept the defaults for the data design project for the logical model, and for the name of the logical model.

    在LogicalDataModelFile页面上,接受用于逻辑模型的默认数据设计项目和逻辑模型的默认名称。

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  • We need to ensure that the gains we have made through the use of appropriate SOA technology components are not negated by tightly-coupled data design.

    我们还应该保证,通过合适的SOA技术所获得的成功不能被紧耦合的数据设计所抵消。

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  • Database normalization is a data design and organization process applied to data structures based on rules that help building relational databases.

    数据库规范化是一种基于规则的,施加于数据结构之上的数据设计和组织过程,这种规则有助于建立关系型数据库。

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  • Complete the following steps to create a new Data Design Project, the EMPLOYEEPAYINFO table, and to populate the four new columns from another table.

    完成以下步骤,以创建一个新的Data DesignProject和employeepayinfo表,并用另一个表中的数据填充4个新列。

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  • Using InfoSphere data Architect, Tom creates a new data design project to contain all the artifacts (data models and metadata) for this particular project.

    TOM使用InfoSphereDataArchitect创建一个新的数据设计项目以包含所需的全部工件(数据模型和元数据)。

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  • XSLT and XML Schema are two cases in which an elaborate recommendation requires a full document to describe the transformation or data design, respectively.

    详尽阐述的建议书需要完整的文档来分别描述转换或数据设计,XSLT和XML模式就是适用于此的两种情况。

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  • Then, using production data as an example, you will start to design an enterprise XML schema that uses various XML Schema features in enterprise data design. You'll learn

    然后以生产数据为例,您将开始设计一个企业XML模式,该模式在企业数据设计中使用各种不同的 XMLSchema特性。

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  • In my last installment of this column, I discussed how XML knowledge management systems such as RDF shed a different light on age-old problems of data design and modeling.

    在本专栏的上一篇文章中,我讨论了诸如rdf这样的XML知识管理系统是如何另辟蹊径解决数据设计与建模这些老问题的。

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  • This paper describes the general design, data design, functions and features of the computer-aided management information system for the automobile maintenance industry.

    文章论述了汽车维修行业计算机辅助管理信息、系统的总体设计、数据设计、系统功能及特点。

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  • Although these are all important questions, you'll look at a very specific issue-one that has important repercussions on data design, data retrieval, and client code management.

    尽管这些问题都非常重要,但是您将探查一个非常具体的问题—这个问题会严重影响数据设计、数据检索和客户机代码管理。

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  • In most MDA situations, the model-to-model mappings are complex and require careful design and implementation.Figure 1: mapping a simple entity to object and data design models.

    在大部分MDA环境中,模型到模型的映射是很复杂的,并且需要进行仔细的设计和实现。

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  • After a change to a database is made, the data design project (including all of the resources that it contains) should be checked into version control and tagged or labeled.

    当数据库更改后,Optim Database Administrator项目(包括它所包含的所有资源)应该签入到版本控制中,并被赋予一个标记或标签。

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  • Data Design Project is a repository for all the resources (scripts, models, log files, etc.) pertaining to a change, and it is also useful in tracking the life cycle of a database.

    Data DesignProject是与变更相关的所有资源(脚本、模型、日志文件等)的存储库,它还可以用于跟踪数据库的生命周期。

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  • From the physical data model File page, accept the default value for the data design project, specify ARCH_JKENT_HR_changes for the name for the physical model, and specify the database type.

    在PhysicalDataModelFile页面上,接受数据设计项目的默认值,指定CMERDADemo_HR_changes作为物理模型的名称,然后指定数据库类型。

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  • The high-level data model is a consistent definition of all of business subject areas and data elements common to the business, from a high-level business view to a generic logical data design.

    高级数据模型是所有业务主题领域以及业务的公共数据元素的一致性定义,从高级的业务视图到通用的逻辑数据设计。

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  • Of course you need the basic it skills of data design and architecture, database administration, Structured Query Language (SQL) scripting, data repository mapping, and business domain knowledge.

    当然,您需要数据设计和架构、数据库管理、结构化查询语言(Structured Query Language,SQL)、脚本、数据存储库映射和业务领域知识等基本IT技能。

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