• Service message model (canonical data models)

    服务消息模型(规范数据模型)

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  • We just went from one version of data models to another.

    我们刚刚从一个版本的数据模型转到另一个版本的数据模型。

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  • The difference is due to different supported data models.

    不同之处在于,有不同的受支持数据模型。

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  • Alternate data models are easily supported, as shown here.

    可以很容易地支持备用数据模型,如下所示。

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  • The project needs to consider, at least in part, existing data models.

    项目需要考虑已有的数据模型(至少需要考虑一部分)。

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  • First, we declare two data models instead of one as shown in listing 3.

    首先,我们将声明两个数据模型(而不是一个),如清单3所示。

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  • It can also ease the mapping from business requirements to data models.

    它还可以简化业务需求与数据模型之间的映射。

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  • One is discrete choice models and the other is count data models.

    常用的统计模型主要包括两种:离散选择模型和计数模型。

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  • There is one more thing we need to consider before creating our new data models.

    在创建新数据模型之前,还有一件事需要考虑。

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  • Why do people want to create (nearly) complete data models early in the project?

    为什么人们要在项目的初期创建(几乎)完整的数据模型?

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  • A prime example is physical data models that directly manipulate SQL data Definition Language.

    一个很好的例子就是直接操作SQL数据定义语言的物理数据模型。

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  • Data models are the bases of an appliance geography information system.

    数据模型是建设应用型地理信息系统的基础。

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  • Data models quickly become very large with many entities and relationships.

    数据模型很快就会变得非常庞大,包含很多实体和关系。

    youdao

  • Data models quickly become very large with many entities and relationships.

    数据模型很快就会变得非常庞大,包含很多实体和关系。

    youdao

$firstVoiceSent
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