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  • YQL can also extract data from HTML web pages.

    YQL还可以从HTMLweb页面提取数据。

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  • Demonstrated how to extract data by writing SQL queries.

    演示了如何通过编写SQL查询提取数据。

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  • This ID is used in the calls that extract data from the library.

    此ID用于从库中提取数据的调用。

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  • Similar to returning matches, we can also extract data from each match.

    类似于返回匹配项,我们还可以从每个匹配项中提取数据。

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  • It is tricky to extract data from it or manipulate it for any other purpose.

    很难从中提取数据或将数据用作其他用途。

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  • Scrapers, which extract data by examining the structure and layout of a Web page

    它通过检查网页的结构和布局提取数据

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  • Alternately, you can extract data for all locales by specifying the value of all.

    同样的,你可以指定参数值为all,从而提取所有区域的数据。

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  • Once the information has been collected, you can extract data using the SAR command.

    在收集到了这些信息之后,可以使用sar命令来提取相应的数据。

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  • Naturally, the same process applies to jobs that extract data from a single data source.

    自然,这个过程也适用于从单个数据源提取数据的作业。

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  • There are five steps to extract data from the source database and load it to the target database.

    这里共有五个步骤,来实现从源数据库中提取数据并且加载到目标数据库中去。

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  • There are usually tools used to construct the SOAP request and extract data from the SOAP response.

    通常,有一些工具用于构建SOAP请求以及从SOAP响应提取数据。

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  • The servlet USES the IBM Workplace Forms Server APIs to extract data, manipulate the form, or both.

    servlet使用IBMWorkplaceFormsServerAPI来提取数据、操作表单或同时执行这两种操作。

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  • Perform logical database backups as they extract data and logical definitions from the database to a file.

    执行逻辑数据库备份,将数据和逻辑定义从数据库提取到一个文件。

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  • For this purpose we can extract data from our Marketing Info XML documents stored in the XML_CONTENTS table.

    为此,我们可以从xml_contents表中存储的市场营销信息XML文档中提取出数据。

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  • This section USES a sample ETL job to illustrate the steps to extract data from the Teradata table named Orders.

    本节将使用一个示例ETL作业来演示从名称为Orders的teradata表中提取数据的步骤。

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  • As you saw in the previous article, YQL lets you extract data from third-party web services with SELECT statements.

    正如在前一篇文章中所看到的,YQL允许您使用select语句提取来自第三方web服务的数据。

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  • Data management activities move, synchronize, or extract data from one location (the source) to another (the destination).

    数据管理活动把数据从一个位置(源)移动、同步或提取到另一个位置(目的)。

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  • Fortunately, Web services transformer USES XPath to extract data from the response document and supports XML chunks output.

    幸运的是,Web服务转换器使用XPath从响应文档中提取数据,并支持xml块输出。

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  • You can, for instance, use XMLReader, a stream parser, to get an element, import it into the DOM and extract data using XPath.

    比方说,可以使用流解析器XMLReader获取一个元素,将其导入DOM,然后用XPath提取数据。

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  • These functions work together to filter or extract data from your documents or exploit relationships among them quite efficiently.

    这些函数将共同过滤或提取文档数据,或者有效利用它们之间的关系。

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  • Then there are the data extraction tools which allow you to extract data from tables, lists and other data structures on the webpage.

    然后是数据提取工具,可以从网页上的表格、列表和其他数据结构中提取数据。

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  • As shown in Figure 4, you want DataStage to extract data stored in one DB2 XML column and map this data to two tables in a DB2 data warehouse.

    如图4所示,您将让DataStage提取存储在一个DB 2xml列中的数据,然后将该数据映射到DB 2数据仓库的两个表中。

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  • The XML Query working group, chartered in September 1999, was tasked with creating a flexible query language to extract data from XML documents.

    XMLQuery工作组在 1999 年9 月正式成立,任务是创建一种灵活的查询语言来从 XML文档中抽取数据。

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  • This article introduced the select statement and demonstrated how to use it properly with Apache Derby to select and extract data from a database.

    本文介绍了select语句,并展示了如何恰当地将它与ApacheDerby结合使用来选择和提取数据库中的数据。

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  • The grouping features of regular expressions can be used to extract data from a string. My RegexGroup function provides that functionality to T-SQL

    正则表达式的分组功能可用于从字符串中提取数据。

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  • You'll use Design Studio to extract data stored in one DB2 XML column and map this data to two tables in a DB2 data warehouse, as shown in Figure 2.

    您将使用DesignStudio提取一个DB 2xml列中存储的数据,并将该数据映射到一个DB 2数据仓库中的两个表中,如图2所示。

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  • If the source of the user data is not in a supported LDAP directory, it is possible to build custom assembly lines to extract data from other sources.

    如果用户数据源不在受支持的LDAP目录中,可以构建定制装配线来提取其他源的数据。

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  • The data manipulation services (in the lower layer) extract data from the physical repositories, and semantic services turn this data into information.

    数据操作服务(在下方的层中)从物理存储库中提取数据,并且语义服务将该数据转换为信息。

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  • Similarly, to implement the Determine Supplier Stock Delivery Accuracy use case we need to extract data from the Store Orders and Logistics databases.

    同样的,要实现确定供应商库存交付准确性用例,我们需要从StoreOrders和Logistics数据库中抽取数据。

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