数据仓库(数据集成)。
Addressing Healthcare Data Integration with soa.
用SOA解决医疗数据集成。
The component supports real-time data integration.
此组件支持实时数据集成。
Data Integration Challenges: Semantic Meaning and Data quality.
数据集成挑战：语义和数据的品质。
Figure 4 presents a common healthcare data integration architecture.
图4展示了一个公共医疗数据集成架构。
When considering an SOA, it's essential to factor in data integration.
当考虑SOA的时候，必须将数据集成作为一项基本要素。
Let's briefly discuss each tier, starting with the data integration tier.
让我们简要讨论一下每个层，首先从数据集成层开始。
Data integration and interoperability is a key requirement in healthcare.
数据集成和互操作是医疗系统中的一个关键需求。
Data integration is the integration of the information used by applications.
数据集成是应用程序所用的信息的集成。
Data integration can be done using a Lotus Domino agent or a servlet or a portlet.
可以使用LotusDomino代理、servlet或portlet实现数据集成。
This pattern describes the master data integration required for building an MDM hub.
此模式描述构建MDMhub所需的主数据集成。
Bet on System Integrators with extensive libraries that move beyond data integration.
拥有扩展库的系统集成商会超越数据集成的范畴而大踏步前进。
Unlike some of the other data integration models, SDO doesn't stop at data abstraction.
与其他某些数据集成模型不同的是，SDO没有停留在数据抽象上。
A new breed of Web-based data integration applications is sprouting up all across the Internet.
一种新型的基于Web的数据集成应用程序正在Internet上逐渐兴起。
IBM Information Server includes many software products for data integration and analysis tasks.
IBMInformationServer包括很多用于数据集成和分析任务的软件产品。
When it comes to a simple format conversion, any modern data integration platform can support it.
如果是简单的格式转换，任一现代的数据集成平台都可以支持。
Instead, it is a data integration framework, focusing on integrating Flex with RESTful frameworks.
它是一个数据集成框架，专注于Flex与RESTful框架的集成。
A data integration platform has to insulate services implementation from the underlying data sources.
一个数据集成平台需要将服务实现与底层数据源分隔开。
PwC lists a number of Semantic technology vendors that focus on enterprise data integration techniques.
普华永道罗列出了许多致力于企业数据整合技术的语义技术提供商。
For this case, the data integration rules must be identified and then mapped onto the service interface.
对于这种情况，必须识别数据集成规则并映射到服务接口。
Data integration can involve complex transformation rules, error checking and data standardization techniques.
数据集成可以涉及复杂的转换规则，错误检查和数据标准化技术。
Semantic mismatches and incompatible data formats are a staple of data integration and are not likely to vanish.
语义不匹配和不兼容数据格式是数据集成的主要问题来源，不太可能消失。
Summary: data integration in an enterprise of data sources is one of the most common requirements of any database shop.
简介：数据源企业中的数据集成是任何数据库市场的最普通的需求。
The approaches it USES are tailored to use legacy systems and attempt to dissect and re-factor through data integration.
这个级别使用的方法针对遗留系统进行了特殊设计，试图分解和重构数据集成。
The InfoSphere Information Server requires the following components to support data integration with Teradata databases.
InfoSphere InformationServer要求以下组件支持与Teradata数据库之间的数据集成。
The most obvious approach -- write the data integration code yourself -- may cost you more time and effort than you think.
最容易想到的方法是自己编写数据集成代码，但这种方法会让您花费超乎想象的时间和精力。
Use popular ontologies like FOAF whenever possible because common structures and vocabulary will facilitate data integration.
只要可能应尽量使用FOAF这类通用本体，公共的结构和词汇表有助于数据的集成。
Regardless of what integration approach is chosen - SOA or data integration - you need to understand the data being integrated.
无论选择什么集成方法—SOA还是数据集成—都需要理解被集成的数据。
Likewise, any analytic and data integration that is required to support a BPM solution is provided using the information services.
同样地，支持BPM解决方案所需的分析和数据交互则通过信息服务提供。
Here, data flows through service composition logic, service implementation logic and potentially application and data integration logic.
在这种情况下，数据流要通过服务组合逻辑、服务实现逻辑以及应用程序和数据集成逻辑。
应用推荐