• This will produce initial target data as result.

    结果是产生原始的目标数据。

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  • This stage represents your target data warehouse table.

    此阶段代表您的目标数据仓库表。

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  • It is further assumed that the target data model is defined.

    并进一步假设已经定义了目标数据模型。

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  • Is the data source of the same type as the target data type?

    数据源的类型是否与目标数据类型相同?

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  • Then use the methods shown to access and iterate over all the target data.

    然后使用所展示的方法来访问并迭代所有目标数据。

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  • The data consolidation pattern does not require a specific target data model.

    数据整合模式并不需要特定的目标数据模型。

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  • Finally, this transformed information is then applied to a target data store.

    最后,将经过转换的信息应用于目标数据存储。

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  • External changes to the target data store are outside the scope of this pattern.

    对目标数据存储进行外部更改超出了这种模式的范围。

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  • The previous 2 sections have established an understanding of source and target data.

    通过前2节内容已经能够理解源数据和目标数据。

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  • The "db2-fn:xmlcolumn" function is one way to specify the target data to be queried.

    “db2-fn:xmlcolumn”函数是指定要查询的目标数据的一种方法。

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  • Last, the consolidation server applies the transformed data to the target data store.

    最后,整合服务器将经过转换的数据应用于目标数据存储。

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  • For testing simplicity, the target data warehouse database is also configured to be TPoX.

    为简化测试,目标数据仓库数据库也配置为TPoX。

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  • For testing simplicity, the target data warehousing database is also configured to be TPOX.

    为了简化测试过程,存储目标数据的数据库也配置为TPOX。

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  • If the target model needs to be modified, the target data will need to be adjusted accordingly.

    如果需要修改目标模型,那么目标数据也需要进行相应的调整。

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  • The XMLCAST function can raise errors if the target data type is incompatible with the actual data.

    如果目标数据类型与实际数据不兼容,XMLCAST函数会引发错误。

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  • Next, the target data sources cannot be replicated or copied in order to fulfill the access requirement.

    其次,无法对目标数据源进行复制来满足访问需求。

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  • It also simplifies the programming model by providing consistent specifications to various target data sources.

    它还通过向各种目标数据源提供一致的规范来简化程序设计模型。

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  • For optimal performance, the client application needs to be routed to the partition that houses the target data.

    为获得最佳性能,客户机应用程序需要被路由到存放目标数据的分区。

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  • DB2 II took care of decomposing this query into pieces that could be processed by each of the target data sources.

    DB 2II负责把该查询分解成能被每个目标数据源处理的几块。

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  • References are made to objects generated by Adaptive warehouse in the Framework Manager model of the target data warehouse.

    在目标数据仓库的FrameworkManager模型中,对AdaptiveWarehouse生成的对象进行引用。

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  • It simply enjoys the runtime performance benefits of storing and querying data in a format that's efficient for the target data.

    系统会自动采用适合目标数据的格式,应用程序自然而然地获得存储和查询数据方面的运行时性能优势。

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  • The reference points to this resource reference name and target data source, which is automatically configured in the extended EAR.

    参考指向了资源参考名以及目标数据源,这些都会在扩展的 EAR中自动得到配置。

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  • All target connections within the grouping of if, Else if, and Else refinements must target sibling elements on the target data structure.

    包含if、Else if和Else细分的组合内的所有目标连接必须针对目标数据结构中的兄弟(sibling)元素。

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  • Because you just imported DB2 metadata about the target data warehouse table, this is a convenient point to work on the DB2 Connector stage.

    因为刚刚导入了关于目标数据仓库表的DB 2元数据,可以在这里开始处理DB 2Connector阶段。

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  • Inter-table relationships, primary key columns, and other information about the target data is specified through the metadata object as well.

    表间关系、主键列和其他有关目标数据的信息也是通过元数据对象指定的。

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  • The JDBC data mediator service generates the appropriate SQL statements (SELECT, INSERT, UPDATE, and DELETE) to access the target data source.

    JDBC数据中介服务生成适当的sql语句(SELECT、INSERT、UPDATE和DELETE)来访问目标数据源。

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  • Typically, the consolidation process is scheduled to occur daily, weekly, and so on — independently of the access by a consumer of the target data.

    通常,整合过程可以按天、周等时间计划执行,与使用者访问目标数据无关。

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  • The query transformations implement the logic that can transform an IBM Cognos query spec into a MDX query that a target data source can understand.

    查询转换实现可将IBMCognos查询规范转化成MDX查询的逻辑,方便数据源理解。

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  • The implementation of the consolidation pattern should address the need to resolve almost any differences found in structures between the source and target data.

    整合模式的实现应该处理消除源和目标数据之间在结构上的任何差异的需要。

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  • Provide extensive transformation capabilities in order to resolve conflicts between sources and in order to restructure source data into a desired target data mode.

    提供各种转换功能,以处理不同数据源之间的冲突,并将源数据重建为所需的目标数据模式。

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