多数开发人员创建这样的应程序，它处理各行、提取数据，然后为各行执行存储过程。
Most developers create an application that processes each line, extracts the data, and then executes a stored procedure for each line.
应用程序随后提取消息中携带的数据并创建一个新的WPS处理实例，该实例将根据组织的业务目标对通知进行处理。
The application then extracts data carried in the message and creates a new WPS process instance that governs the announcement handling according to the business objectives of the organization.
我们过滤掉重复的内容、对数据进行结构化改造，变成统一的对象模型然后使用我们的自然语言处理程序SiLCC，提取关键字和打上标签。
We filter out duplicate content, structure data into a unified object model, and then use our natural language processing program, SiLCC, to extract keywords and apply them as tags.
应用程序提取表单数据，将其格式化为XML(遵从dxl文档格式)，然后调用DXLCreateD oc代理。
The application extracts the form data and formats it into XML (conforming to DXL document format) and invokes the DXLCreateDoc agent.
这个过程使用ApacheDerby项目中的Type4JDBC驱动程序连接数据库，从数据库中提取元数据，然后关闭数据库连接。
This process used a Type 4 JDBC driver from the Apache Derby project to connect to a database, extract metadata from the database, and then close the database connection.
使用这种方法，您可以为您的视图和支持的应用程序简化一些数据提取要求。
Using this approach, you can simplify some of the data extraction requirements for your views and supporting applications.
然而，与应用程序上下文中的其他后端调用相比，提取这些数据是一项高开销的任务，需要大量的时间。
However, fetching this data is an expensive task, and takes a huge amount of time compared to other back-end calls in your application context.
通常情况下，您的应用程序将具有一系列控制器，所有的控制器都将从模型中提取数据，然后在视图中显示。
Typically, your application will have a series of controllers, all of which will pull data from models and then display data in views.
它没有提取事件，而是将它们推出到数据流或编写程序中。
Instead of pulling in events, it pushes them out to a stream or a writer.
为了应用预测分析，您首先需要预处理从SAP应用程序中提取出来的原始数据，以便创建包含所有相关信息的单一表。
To apply predictive analytics, you first need to pre-process the raw data extracted from the SAP application, to create a single table that contains all relevant information.
和在客户端一样，封装的接口要求应用程序代码从收到的封装器对象中提取数据，并构造将要发送的封装器对象。
As on the client, the wrapped interface requires the application code to extract data from received wrapper objects and construct wrapper objects to be sent.
我猜想处理XML文档的所有程序员中有80%真正需要的只是一种提取数据并将它们作为结构化的数据容易地进行操作的方法。
I would guess that what 80% of all the programmers who deal with XML documents really want is just a way to grab the data and easily manipulate it as structured data.
在此分析的基础上，该程序计划再连续发出自动生成的搜索词，以尽量提取出尽可能多的数据。
Based on that analysis, the program then fires off automated search terms in an effort to dislodge as much data as possible.
数据通过标准的提取、转换和加载(etl)连接器加载，然后可供商业智能和分析应用程序进行查询。
Data is loaded through standard extract, transform, and load (ETL) connectors, and is then available for queries from business intelligence and analytics applications.
DMS总是以同一种格式(数据图)返回信息，它隐藏了实际的数据存储信息，在SDO应用程序和EIS之间提供了一层数据提取的功能。
As a DMS always returns the information in the same format (a data Graph), it hides the actual data storage and provides a level of abstraction between the SDO application and the EIS.
当应用程序需要使用不同来源的信息时，来自每个源的数据可以同步获得，而每个源可以同时提取。
When the application needs information from different sources, data from each source can be got synchronously but each source can be fetched concurrently.
这个应用程序的实际目的是从服务器上提取地震数据库中的信息。
The actual purpose of the application is to retrieve information from a database of earthquakes on the server.
例如，一个聚合应用程序可能从三个不同的数据源提取数据，如天气信息、交通信息和地图。
For example, a mash-up might pull data - such as weather information, traffic information, and a map - from three unique sources.
第一步是将数据从SAP应用程序提取到相应的DB 2数据库。
The first step is to extract the data from the SAP application into a corresponding DB2 database.
如果数据提取需求变了，那么只需在sap桥的存储库中调整与应用程序相关的相应查询。
If requirements for the data to be retrieved change, only the corresponding application-specific queries need to be adapted within the SAP bridge's repository.
在使用MTK从源数据库提取源对象之前，应确保系统CLASSPATH包含源JDBC驱动程序。
Make sure that your system CLASSPATH contains the source JDBC driver before using MTK for extraction from a source database.
这种技术通常需要自己编写自定义的应用程序逻辑从XML文档中提取数据，然后放到关系数据库的表列中。
Often the technology in question is custom application logic that you wrote yourself to extract data from an XML document and put it into a column on a table in a relational database.
然后此方法从网站返回的字符串中提取最新的交易价格，并将数据返回调用程序。
The method then extracts the last trading price from the string returned by the Web site, and returns that value to the caller.
应用程序不断提取XML数据，添加一些格式化，然后将其显示在用户界面上——通常是作为HTML、xhtml或wml。
Applications constantly take XML data, add some formatting, and toss it into user interfaces — usually as HTML, XHTML, or WML.
词汇表数据库包含应用程序中可提取的所有字符串，包括不可翻译的字符串。
The glossary databases contain all the strings extractable in applications, including untranslatable strings.
只要已经在DefaultConfiguration文档中配置这些项来提取它们，并且用户没有禁用detailharvesting，那些数据就会返回给那些程序。
As long as these items are configured for harvesting in the Default Configuration document and the user has not disabled detail harvesting, that data is returned to them.
组织可以使用mashup编辑器通过外部和内部的feed从公司提取数据，然后创建新的应用程序或信息。
Organizations can use mashup editors to extract data from companies with external or internal feeds and create new applications or information.
带分隔符数据的通用处理程序模块将接收DelimitedFlatFile业务对象，提取元数据，并为目标服务构造恰当的调用消息。
The Generic Delimited data Handler module receives the DelimitedFlatFile business object, extracts metadata, and constructs the appropriate invocation messages for the target service.
如果您正在设置一个典型的PHP应用程序，您需要创建一个mysql _ query包装器来使用一个sql查询从数据库提取一个清单。
If you were setting up a typical PHP application, you'd create a mysql_query wrapper to extract a listing from the database using an SQL query.
JSON是一种有用的、轻量级协议，现在可用于PHPV5.2，它可以轻松地实现从PHP应用程序中提取出数据，并将其放入Ajax应用程序的过程。
JSON is a useful, lightweight protocol, now available in PHP V5.2, which makes the process of getting data out of our PHP applications and into our Ajax applications an easy one.
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