• Because of a merger of several Banks, the database data model requires some significant changes.

    由于几家银行的合并,数据库数据模型需要进行一些显著的修改。

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  • The ZRM framework will automatically create a backing database to store data instances of this model definition.

    ZRM框架将自动创建一个支持数据库来存储这个模型定义的数据实例。

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  • This phase involves the development of services, components, the underlying physical data model, and database objects.

    此阶段涉及到服务、组件、底层物理数据模型和数据库对象的开发。

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  • Besides comparing between objects in the same project, you can choose to compare the data model against a database or DDL script.

    除了比较同一个项目中的对象外,还可以选择将数据模型与一个数据库或ddl脚本进行比较。

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  • This logic data model makes it impractical to directly load database tables by using bulk load tools that are described in the fourth method.

    这种逻辑数据模型,使得使用第四种方法中描述的块载入工具直接载入数据库变得不现实起来。

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  • Start by creating a physical data model with a SAMPLE database, creating a SAMP schema, and creating some tables and columns.

    首先创建一个物理数据模型,模型中包括一个SAMPLE数据库、一个SAMP模式和一些表和列。

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  • They capture the core data model from the database and also the business rules that apply to this data.

    它们从数据库捕获核心数据模型以及应用于这些数据的业务规则。

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  • The physical data model is tightly related to the database system and data warehouse tools that you will use.

    物理数据模型是与数据库系统以及您将使用的数据仓库工具紧密相关的。

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  • A key element in the data model is the set of statistics gathered about the data contained in the database and stored in the system catalog tables.

    数据模型中的关键元素是一组统计信息,该统计信息收集了有关数据库中所包含的数据和系统目录表中所存储的数据的信息。

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  • In short, just as you would not build a house without a blueprint, you should never design a database without a data model.

    简单地说,就像你不会在没有蓝图的情况下就修建一栋房子一样,你决不应当在没有数据模型的情况下就设计一个数据库。

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  • For vertical alignment, this should be consistent with the physical data model that is used to generate the database schema.

    为了取得垂直对齐,这应该与用于生成数据模式的物理数据模型一致。

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  • You now have a data model created based on reverse engineering from a database or from a DDL script.

    至此,您通过对一个数据库或DDL脚本的反向工程,创建了一个数据模型。

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  • The physical data model gives you a picture of your database entities and lets you make decisions, then execute them on your current database model.

    物理数据模型可以提供数据库实体的视图,您可以做出设计决策,然后在当前的数据库模型中实现这些决策。

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  • The IDE doesn't support this, it requires manually editing the XML to indicate one database should use entities from another data model.

    IDE不支持这么做,需要我们手工编辑XML以说明数据库需要使用另一个数据模型中的实体。

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  • But a problem occurs when the analysis model is used to create a new database model, because the information captured in the analysis model is insufficient to complete a working data model.

    但是当用分析模型创建新的数据库模型时就会出现问题,因为,从分析模型中得来的信息已经不足以完成工作数据模型了。

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  • A physical data model can be used to generate data definition language (DDL) statements which can then be deployed to a database server.

    可以使用物理数据模型来生成数据定义语言(ddl)语句,然后可以将这些语句部署到一个数据库服务器上。

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  • It seeks the same method used to create the data model, a database connection, or a DDL script, then performs the compare, and displays the results in the compare pane.

    它寻找用于创建数据模型、数据库连接或ddl脚本的相同方法,然后执行比较,并在比较面板中显示结果。

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  • You transformed an application model to a logical data model for finally creating the database tables.

    您将一个应用程序模型转换为逻辑数据模型,并最终创建了数据库数据表。

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  • Furthermore, this data model is exposed to database users when XML data type is specified.

    另外,当指定XML数据类型时,会向数据库用户公开这个数据模型。

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  • 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。

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  • Developers using ODS can then associate this physical data model with their individual database connections.

    然后,开发人员可以使用ODS将这个物理数据模型与他们的数据库连接关联起来。

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  • The problem, from his point of view, was a lack of mathematical rigor in defining the data model (some database models had no rigor whatsoever).

    在他看来,该问题是因为在定义数据模型时缺乏数学严谨性(一些数据库模型没有任何严谨性)。

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  • On the other hand, if you're starting with a data set, such as fields that must be completed in a database, start by designing the data model first, and then create the form layout.

    相反,如果需要从数据集(比如在数据库中必须完成的字段)开始,则最好首先设计数据模型,然后再创建表单布局。

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  • Once a data model is specified, RDA allows you to create the SQL code for DB2 so that you can deploy the data model on a database.

    指定一个数据模型之后,RDA允许创建用于DB2的SQL代码,以便将数据模型部署到一个数据库上。

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  • But, while this application had no formal data model, maybe we could "borrow one" by streaming the data into an in-memory database and querying against that.

    但是,虽然这个应用程序缺少正式数据模型,但也许我们可以将数据存储到内存中的数据库,并凭借该数据库进行查询,通过这种方式借用一个数据模型。

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  • The data modeler created a database schema in the Rose model.

    数据建模器在Rose模型中创建了一个数据库计划。

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  • Specify the Cubing model generated above and the target as the database node of the physical data model, then click Next.

    指定上面生成的Cubing模型和目标作为物理数据模型的数据库节点,然后单击Next。

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  • Rational Data Architect will go through the catalog tables, also known as system tables in some database systems, and create a data model based on that information.

    RationalDataArchitect将检查编目表(在某些数据库系统中也称系统表),并根据该信息创建数据模型。

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  • The model represents the data stored in the database with each table having a corresponding ActiveRecord model class in Ruby.

    模型表示数据库中存储的数据,每个表在Ruby 中都有一个对应的ActiveRecord 模型类。

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  • To build out the back end, start with defining the data model for the MySQL database.

    要构建后端,首先要为MySQL数据库定义数据模型。

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