Repeat the prior steps to import the two data warehouse target tables.
重复以上步骤导入两个数据仓库目标表。
Understand why and when data in a warehouse target table was — accidentally — deleted.
理解仓库目标表中的数据为何以及何时被意外地删除。
In the next step, you'll customize the DB2 Connector representing the data warehouse target table.
在下一个步骤中，您将定制表示数据仓库目标表的DB 2Connector。
A filter expression is created in the warehouse target model which will use the default value (if provided).
在仓库目标模型中创建一个过滤器表达式，这将用到默认值(如有提供)。
You can use Design Studio's data modeling wizards to create this table (as well as the data warehouse target tables).
可以使用DesignStudio的数据建模向导创建这个表(以及数据仓库目标表)。
Listed in the dialog are all the embedded prompt expressions from the warehouse target model from the AA_Prompts_Map parameter map.
对话框中列出来自aa_prompts_map参数映射的仓库目标模型上的所有嵌入式提示表达式。
The Adaptive Warehouse target model automatically embeds a prompt expression in queries which evaluate the time context for history tracking dimension attributes.
AdaptiveWarehouse目标模型自动嵌入一个提示表达式到查询中，该查询为历史跟踪维度属性评估时间上下文。
This stage represents your target data warehouse table.
此阶段代表您的目标数据仓库表。
The target location could be either a centralized location, such as data warehouse, or another distributed place on the network.
目标位置可以是集中的位置，例如数据仓库，也可以是网络上另一个分布式位置。
Modeling the target warehouse data is the process of translating requirements into a picture along with the supporting metadata that represents those requirements.
目标仓库数据的建模是将需求转换成图画以及支持表示那些需求的元数据的过程。
The Downloads section of this article contains a DB2 script that creates the necessary operational (source) table and data warehouse (target) tables.
本文的下载小节包含一个db2脚本，该脚本创建必要的操作型(源)表和数据仓库(目标)表。
Data is then sent to target DB (ODS) where it is parsed, written to data sets, transformed, and sent to the warehouse DB.
然后数据被发送到目标DB (ods)，在这里，它被解析、写进数据库，转换并发送至数据仓库DB。
This article, the first in a two-part series, illustrated how to build a single data flow that uses an XML-based source table to populate two target data warehouse tables.
本文是一个分两部分的系列的第一篇文章，文中阐述了如何构建一个数据流，该数据流使用一个基于 XML 的源表填充两个目标数据仓库表。
ETL is often used to extract data from the source system, transform data into a compatible format with the target system, and then load into a target system, such as a data warehouse or data mart.
etl常用于从源系统中提取数据，将数据转换为与目标系统相兼容的格式，然后将其装载到目标系统中，例如数据仓库或者数据市场。
In a subsequent data flow operation, you'll use a join operator to ensure that full XML account records (contained in the INFO column) are fed into the target data warehouse table.
在随后的数据流操作中，您将使用一个连接操作符确保整个XML账户记录(包含在info列中)被填充到目标数据仓库表中。
With all the necessary relational values extracted from the source XML column, it's time to aggregate the two values needed for one of the target data warehouse tables (the DWADMIN.ACCT table).
从源xml列提取所有需要的关系值之后，便可以为一个目标数据仓库表(DWADMIN .acct表)聚合这两个值。
Solution implementation cycle: the data warehouse implementation includes the target repository and the data mart database, as well as ETL process implementation.
解决方案实现周期(Solution implementation cycle)：数据仓库实现包括目标存储库和数据集市数据库，以及ETL过程实现。
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。
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。
You've now programmed the XML Input stage to extract data from a DB2 pureXML column and prepare it for mapping into a DB2 target data warehouse table that is largely relational.
现在，您已经让XMLInput阶段能够从DB 2purexml列提取数据，并将数据映射到主要是关系结构的DB 2目标数据仓库表。
When this table is loaded into the target warehouse table customer, which is in the stores_demo database, the target table might have more or fewer columns than the customer_trans table.
当此表加载到目标数据仓库表customer中，该表位于数据库 stores_demo 中，目标表可能会具有比表 customer_trans更多或者更少的列。
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。
The target system for C4ISR system efficiency evaluation is established, a data warehouse system is set up based on the data's character such as great capacity and not structural.
建立了C4ISR系统效能评估的指标体系，根据对整个C4ISR系统进行效能评估需要数据的海量、非结构等特点，建立了一个数据仓库系统。
The target system for C4ISR system efficiency evaluation is established, a data warehouse system is set up based on the data's character such as great capacity and not structural.
建立了C4ISR系统效能评估的指标体系，根据对整个C4ISR系统进行效能评估需要数据的海量、非结构等特点，建立了一个数据仓库系统。
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