• 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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  • That has big implications for the design of the data models.

    对于数模型的设计来说这已经产生了重大的影响。

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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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  • Physical data models are used to describe data at the lowest level.

    物理数据描述型用于描述最低层的数据。

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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。

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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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  • 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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  • There will very likely be competing specifications for an element in different data models.

    在不同数据模型元素中非常有可能产生竞争规范。

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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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  • Domain Models - Allow you to define specific data types for your business.

    领域模型——允许为业务定义特定的数据类型。

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  • We also give hints on how to avoid clutter in data flow models.

    我们还提供了关于如何避免使数据流模型中出现混乱的提示。

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  • Such data offers gross support of contemporary models of memory that assume an input-output balance.

    这些数据为当代的这种记忆输入——输出平衡模型提供了有力的支持。

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  • So let's delve into the two additional models you can use with your data.

    所以让我们来深入研究可用在数据中的其他两个模型。

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  • The next step would be to validate the models against data from new patients.

    下一步是用新病人的数据验证此模型。

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  • Competing data from different models.

    来自不同模型之间数据的竞争。

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  • Create a new mapping model between each pair of data source models.

    在每一对数据源模型之间建立一个新的映射模型。

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  • Complete annotations of data source models.

    完成数据源模型的注释。

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  • Models, which contain or represent the data that users work with.

    模型,包含或表示了用户与之工作的数据。

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  • Based on the previous design data to determine the types and models of equipment.

    以前面的设计数据为基础确定了设备的种类及型号。

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  • And the models that included cultural transmission as a factor best matched the data.

    将文化传播作为参考因素的数学模型与数据的匹配结果最理想。

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  • Then, it analyzes stack architecture, work models and data flow transport.

    随后深入分析和研究蓝牙软件结构,工作模式和数据传输等特性。

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  • Models can agree to the experience data well.

    模型与实验数据取得了很好的一致性。

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  • Models can agree to the experience data well.

    模型与实验数据取得了很好的一致性。

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