使用中介功能从异类数据格式转换到规范的消息模型。
Conversion of the heterogeneous data formats into a canonical message model, with mediation capabilities.
公司和组织间的合并和收购通常要求数据和应用程序架构师将异类数据源集成到数据的统一视图中。
Mergers and acquisitions among companies and organizations often require data and application architects to integrate disparate data sources into a unified view of the data.
业务分析的价值在于从各种异类数据源中提取具体的不断变化的数据，从而确保做出更加明智的决策。
Business analytics derive their value through the ability to extract specific and changing data from a wide variety of heterogeneous sources for smarter decision-making.
最后，许多公司需要使用来自异类数据源的数据填充数据仓库，而DataStage提供的关键服务能够帮助它们完成该任务。
Finally, many firms need to populate their data warehouses with data from heterogeneous data sources, and DataStage provides critical services to help them do so.
更为有效的方法是对数据进行整合，以便异类数据系统能形成单个数据视图(例如，创建单个经过整合的数据库来存储客户信息)。
A more efficient approach is to consolidate the data so that disparate data systems form a single view of the data (for example, creating a single consolidated database to store customer information).
使用DB 2 InformationIntegrator中的视图来表示需要从多个异类数据源连接、联合或相关的数据。
Use views in WebSphere Information Integrator to represent data that needs to be joined, unioned, or otherwise correlated from multiple disparate sources.
为了应对日益复杂的异类数据库环境，人们意识到需要创建企业数据模型（Enterprise Data Model，EDM）。
To deal with increasingly complex and heterogonous database environments, people realized a need to create an Enterprise Data Model (EDM).
ServiceDataObjects (SDO) 2.1是一种数据编程体系结构和API，可提供对异类数据源的统一数据访问。
Service data Objects (SDO) 2.1 is a data programming architecture and an API that provides uniform access to data across heterogeneous data sources.
客户机应用程序或组件使用JDBC或SQLJ访问EII服务器管理的异类数据，该服务器透明地集成不同种类的数据，并以表结构返回这些数据。
Client applications or components use JDBC or SQLJ to access disparate data managed by an EII server, which transparently integrates heterogeneous data and returns it in a tabular structure.
实现MDM系统就是为了解决这些问题，并提供把主数据分发给异类环境中各种应用程序的能力。
An MDM System is implemented to resolve these types of problems and requires the ability to distribute master data to various applications in a heterogeneous environment.
正如问题说明中所述，此方法的目标是避免提供异类源的集成视图时出现数据冗余。
As described in the problem statement, it is the goal of this approach to avoid data redundancy when providing an integrated view over heterogeneous sources.
对象可以是异类的，每个对象都可以包含不同的“特有”数据集合。
Objects can be heterogeneous, and each contain a different collection of "owned" data.
在传统上下文和soa上下文中，数据联合服务器提供了有效联接和处理来自异类源的信息的解决方案。
In both the traditional as well as the SOA context, the data federation server provides a solution to effectively join and process information from heterogeneous sources.
IBMInfoSphere InformationServer是一种数据集成软件平台，可以帮助企业从分散在系统中的复杂的异类信息中获得更多价值。
IBM InfoSphere information Server is a data integration software platform that helps organizations derive more value from the complex, heterogeneous information spread across their systems.
这使得异类应用程序能够使用共同的数据模型来传递数据，而任何语言都可以很容易理解这个数据模型。
This enables heterogeneous applications to pass data using a common data model that's readily understood by any language.
作为本系列的开篇，本文将讨论数据与内容之间的差别，并讨论如何查找和集成来自多个异类源的信息。
This article launches the series by looking at the difference between data and content and discussing how to find and integrate information that comes from multiple, disparate sources.
数据联合处理有关集成来自异类源模型的数据的问题，包括将这些不同的源模型映射到联合层的公共模型的概念。
Data federation addresses the problem of integrating data from heterogeneous source models and includes concepts to map those different source models into the common model at the federated layer.
首先介绍了数据融合的分类和异类传感器数据融合的应用优点。
In this paper, the classification of data fusion and application merits of dissimilar-sensor data fusion are discussed at first.
当接收到的请求数量适中，而来自多个异类互补数据源的结果大小有限时，可最佳地利用数据联合的优势。
The advantage of data federation is best exploited when a modest number of requests are received against limited result sets sized from multiple consistent, complementary data sources.
将多个异类客户遗留数据源转换为SOA支持的内聚解决方案。
Transformation of multiple, disparate, customer legacy data sources into a cohesive solution powered by soa.
正如本周公布的其他数据所表明的，在这方面英国在发达国家中是个异类。
In this respect, Britain is unusual among advanced economies, as other figures also published this week highlighted.
针对异类传感器观测空间不一致的问题，提出了基于模糊聚类的异类多传感器数据关联算法。
For the inconsistency problem of heterogeneous sensors' measurement Spaces, a new data association (da) algorithm based on fuzzy clustering algorithm is presented.
针对异类传感器观测空间不一致的问题，提出了基于模糊聚类的异类多传感器数据关联算法。
For the inconsistency problem of heterogeneous sensors' measurement Spaces, a new data association (da) algorithm based on fuzzy clustering algorithm is presented.
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