为什么要使用多数据源系统？
基于更多数据源更快地制定更多决策对于前沿系统很重要。
Making more decisions based on more data sources more quickly is becoming vital to cutting-edge systems.
系统提供了互操作查询语言IOQL来实现多数据源上的查询。
It provides IOQL (Interoperable Object Query Language) which enables users to manipulate data in multiple databases.
最后，选择规则的同步融合策略实现多数据源中的分类规则挖掘。
Then the method of synchronous amalgamating is chosen to implement the mining of classification rules from multiple data sources.
集成的过程包括从很多数据源集成，每一个数据源在你使用之前都需要注释。
The integration process typically includes integrating from more than one data source and each data source needs to be annotated before you can proceed.
mashup提供一种组合来自许多数据源的数据并以标准化格式发布数据的简便方法。
Mashups provide a simplified means to combine data from numerous sources and publish the data in a standardized format.
系统采用PQDIF通用数据交换格式，使多数据源有良好的兼容性，实现了数据共享。
The general data interchange format PQDIF (Power Quality data interchange format) is adopted, which makes multi source data better compatible to realize data sharing.
查询在连接的模式映射组成的映射路径上，通过多次重写转发实现多数据源的数据共享。
On the mapping path composed of connecting schema mappings, queries are reformulated and forwarded for multiple times to achieve data sharing among multiple data sources.
如果需要，您可以通过从对话框左手边的复选框列表中选择想要的数据源来为一个位置配置许多数据源。
If required, several data sources can be configured for one location by selecting the desired data sources from the check box list on the left-hand side of the dialog.
通过这一系统可以支持对全局概念和各个数据源的建模，并通过有效的推理机制完成对多数据源的集成。
This system allows for suitably modeling the global concepts and the individual information sources. It provides efficient reasoning services for the integration procedures.
很多数据源包括的数据都是和存储信息无关的，例如计数器，用来分类数据的临时助手以及用户接口的多种语言文本。
Many data sources include data that is irrelevant for understanding stored information, such as counters, temporary helper tables used to sort data, and multilingual text for the user interface.
该系统从入侵检测系统和主机系统等多数据源主动收集数字证据，通过完整性算法保证数字证据传输和存贮过程中的完整性。
The integrity of digital evidences was protected by integrity algorithm, which was collected and stored from intrusion detection systems and host systems.
但由于气象数据的多数据源、多类型、多时相、多分辨率等固有的特点，指望一个数据挖掘系统挖掘所有类型的气象数据是不现实的。
But due to the inherent characteristics of the multi data source, multi type, multi temporal and multi resolution, one data mining system to excavate all types of weather data is unrealistic.
尽管出现了很多信息标准，例如XML、Unicode以及UML，但是许多数据源仍然使用私有的数据格式、元数据以及元模型，这是由我们一直以来的习惯形成的。
Despite the rise of information standards such as XML, Unicode, and UML, many data sources use proprietary data formats, metadata, and metamodels because of historical reasons or out of habit.
你需要了解数据源的类型，连接到它的驱动程序以及注册信息(大多数情况需要注册和密码)。
You need to know the type of the data source, the driver used to connect to it, and the login information (in most cases, login and password).
尽管整合服务器可以处理单个记录，但大多数实现的目标是将不同数据源的大量数据移动到一个或多个目标。
Although a consolidation server can process single records, most implementations are targeted to move large amounts of data from various sources to one or more targets.
绝大多数这些错误都来自垃圾数据，如果我们能发现一个错误，我们也就能发现其他数据源绝大多数同样的错误。
Most of these errors come from garbage records, and when one of these is found, almost always, the same problems can be found in other metadata sources.
大多数复杂的映射发现是使用外部购买的辞典来从数据源中查找同义词或者数据样本，从而验证映射的可能性。
More complex mapping discovery USES externally purchased thesauruses to find synonyms or even data samples from the data source to validate possible mappings.
大多数业务程序员都不愿意，为了使用JDBCSPI而编写他们自己的数据源和连接池代码，并实现一个命名的服务器。
Most business programmers cannot justify the time it takes to write their own datasource and connection pool code plus implement a naming server so the JDBC SPI can be used.
大多数情况下，执行更新的数据源不应该被缓存。
In most cases, feeds that perform updates should not be cached.
当一个模型显示大多数层级的数据源规范细节时，这对我们理解数据是不够的。
While a model displays most of the level of detail of specification from the data source, this is not enough for our understanding of the data.
如前所述，由于大多数供应商都为他们各自的数据源提供了OLEDB驱动程序，因此还有很多其他的拥有ole DB驱动程序的数据源。
As previously mentioned, there are many other sources that have OLE DB drivers with most vendors providing OLE DB drivers for their respective data sources.
工具箱中的大多数控件都支持数据绑定，通过底层的数据绑定构件来绑定各种各样的数据源。
Most controls in the Toolbox support data binding to an arbitrary data source through a native data-binding infrastructure.
这与许多应用服务器不同，多数应用服务器只允许使用应用程序范围的数据源或全局范围的数据源。
This is different from many application servers, which only allow either application-scoped or globally-scoped data sources.
例如，在Cognos报告中，可以通过在FrameworkManager中描述一个元数据层，来访问大多数数据库和其他数据源，例如Web服务中的数据。
Data from most databases and other sources, like Web services, can be accessed, for example, in Cognos reports by describing a metadata layer in Framework Manager.
因此，在使用标准的ODBC包装器的情况下，FederationServer只能将少数SQL操作下推到远程数据源，大多数谓词的计算、聚合、排序和连接仍然是在本地完成。
Thus, Federation Server can push down only a few SQL operations through the standard ODBC wrapper to the remote source and executes most predicate evaluations, aggregations, sorts and joins locally.
在多数生产环境中，用户映射将WebSphereInformation Integrator用户ID和口令翻译成有效的远程数据源帐户。
In most production environment, these translate a WebSphere Information Integrator user id and password to a valid account on the remote data source.
在大多数生产环境中，管理员还会定义用户映射(user mapping)，以便将DB 2II用户ID和密码翻译成远程数据源上的有效帐户。
In most production environments, administrators also define user mappings to translate a DB2 II user id and password to a valid account on the remote data source.
在大多数生产环境中，管理员还定义了用户映射，将DB 2Information Integrator用户ID和口令转换成远程数据源中的有效帐户。
In most production environments, administrators also define user mappings to translate a WebSphere Information Integrator user id and password to a valid account on the remote data source.
虽然大多数敏感数据提供程序都通过SSL公开了它们的数据，但urlconnection类可以支持将用户名和密码传递给外部数据源。
While most sensitive data providers expose their data through the SSL connection, the URLConnection class can support passing usernames and passwords to the external data source.
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