Using one data entity per concrete class.
每个具体类使用一个数据实体。
Using one data entity for an entire class hierarchy.
整个类层次结构使用一个数据实体。
And about the Data Entity Model and missing classes.
对数据实体模型和缺的课。
This enables logical separation of the data access and data entity tiers.
这么做可以对资料存取和资料实体层进行逻辑划分。
Figure 7 presents the persistence model when each concrete class is mapped to a data entity.
图7显示了将每个具体类映射成数据实体时的持久性模型。
I have a core data entity that represents the attributes of a product, as number, price, etc.
我有一个核心数据实体，表示产品的属性，如数字，价格等。
Figure 6 presents the updated persistence model for mapping the entire class hierarchy into one data entity.
图6显示了一个更新过的持久性模型，用于将整个类层次结构映射成一个数据实体。
Figure 8 presents the solution for the third mapping strategy — mapping a single class to a single data entity.
图8显示了第三种映射策略的解决方案——将单个类映射成单个数据实体。
With this approach each data entity includes both the attributes and the inherited attributes of the class that it represents.
使用这种方法，每个数据实体就既包含属性又包含它所表示的类继承的属性。
If you are dealing with multiple sources, then you harmonize until you have a single definition or survivable data entity to map to.
如果在处理多个源，那么要不断地进行协调，直到剩下单独的一个定义或数据实体进行映射。
The realization principle of red and black mechanism is expounded with respect to the data model, data entity, graph version, networ.
从数据模型、数据实体、图形版本、网络拓扑、应用实现等方面阐述了红黑图机制的实现原理。
With this approach, you map an entire class hierarchy into one data entity, where all the attributes of all the classes in the hierarchy are stored.
使用这种方法，您可以将一个完整类层次结构映射成一个数据实体，而层次结构中所有类的所有属性都存储在这个实体中。
Collaborative method of use: Collaboration means that multiple users, usually in different roles, participate in the same process on a master data entity.
协作性使用方法：协作性意味着多个用户(常常具有不同的角色)参与与一个主数据实体相关的同一过程。
This is also applicable when designing publication services - reuse schemas when publishing a data entity as opposed to exposing for an on-demand invocation.
这同样适用于发布服务的设计——在发布数据实体时重用模式，其过程不同于应调用请求而暴露模式。
The realization principle of red and black mechanism is expounded with respect to the data model, data entity, graph version, network topology and application realization.
从数据模型、数据实体、图形版本、网络拓扑、应用实现等方面阐述了红黑图机制的实现原理。
This will not only save time but also ensure that the data service consumer has a consistent definition of the data entity when preparing inputs or parsing outputs from data services.
这不仅能够节省时间，还能够保证数据服务消费者在准备数据服务的输入或解析数据服务的输出时，对数据实体有一个一致的定义。
You make only one call per entity and get all the data there is to get.
只对每个实体调用一次，并一次获取所有能获得的全部数据。
Obviously this has some limitations when one want to expose multiple versions of the same resource without duplicating the entity data.
显然，现在还有一些限制，当某人想暴露同一个资源的多个版本的时候，却无法复制它的实体数据。
At a basic level, it rolls up the domain integrity of those data elements comprising the entity and states whether all elements are populated or not.
作为一个基本级别，它实现了这些数据元素的域完整性，包含实体以及是否填充元素的状态信息。
Decoupling the service definition from the business logic (controller) and from access to the data (entity) ensures that no business logic manifests itself in the entities.
将服务定义同业务逻辑(控制器)以及数据(实体)访问分离，可确保实体中不会透露任何业务逻辑。
Conceptually, two operations create a data buffer under the conventional scheme: the creation of a data buffer entity and the allocation of actual memory.
从概念上讲，数据缓冲区在传统方案下是由两个操作创建的：数据缓冲区实体的创建和实际内存的分配。
In the ARTS Data Model, the entity name is often used as a prefix for attribute names.
在ARTS数据模型中，实体名称经常作为属性名称的前缀。
The technical data quality dimension defines the data quality criteria often found in logical data modeling entity integrity and referential integrity rules.
技术性数据质量维定义在逻辑数据建模实体完整性和引用完整性规则中常见的数据质量标准。
Data blocks Pages Smallest storage entity in the storage model.
数据块页面存储模型中的最小存储实体。
Entity beans provide robust data persistence.
实体bean，它提供健壮的数据持久性。
When it comes to enterprise-level data persistence, entity beans offer the following advantages.
谈到企业级数据持久性时，实体bean有下列优点。
Because field_item_link isn't a recognized data type or entity, the data type defaults to struct when it is processed.
因为field_item_link不是可以识别的数据类型或实体，在处理它们时，数据类型默认为struct。
Increased persistence ignorance in entity data classes.
增强了实体数据类的持久化透明(persistence ignorance)能力。
identification of the entity collecting the data;
验明确认该实体正在收集数据信息；
Because entity beans purely represent data, it is suggested that no workflow logic be coded in an entity bean.
由于实体bean只表示数据，建议不要把工作流逻辑编码在实体bean中。
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