高级元数据集成价值的例子包括。
用于元数据集成的IBM工具。
用SOA解决医疗数据集成。
许多因素都增加了元数据集成的难度。
Many factors contribute to the difficulty of metadata integration. They include the following.
此组件支持实时数据集成。
图4展示了一个公共医疗数据集成架构。
Figure 4 presents a common healthcare data integration architecture.
数据集成是应用程序所用的信息的集成。
Data integration is the integration of the information used by applications.
图1给出企业元数据集成解决方案的概况。
Figure 1 shows the outline of an enterprise metadata integration solution.
数据集成挑战：语义和数据的品质。
Data Integration Challenges: Semantic Meaning and Data quality.
其中几个组件在元数据集成中扮演重要角色。
Several of these components play a key role in metadata integration. The subset of components related to the scenarios that are shown in this article are.
数据集成和互操作是医疗系统中的一个关键需求。
Data integration and interoperability is a key requirement in healthcare.
通过对服务器上的查询进行分组来提升数据集成。
此模式描述构建MDMhub所需的主数据集成。
This pattern describes the master data integration required for building an MDM hub.
让我们简要讨论一下每个层，首先从数据集成层开始。
Let's briefly discuss each tier, starting with the data integration tier.
一个数据集成平台需要将服务实现与底层数据源分隔开。
A data integration platform has to insulate services implementation from the underlying data sources.
对于这种情况，必须识别数据集成规则并映射到服务接口。
For this case, the data integration rules must be identified and then mapped onto the service interface.
当考虑SOA的时候，必须将数据集成作为一项基本要素。
When considering an SOA, it's essential to factor in data integration.
mashup这种隐晦的数据集成定义当然不是非常严格。
This vague data-integration definition of a mashup certainly isn't a rigorous one.
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。
When it comes to a simple format conversion, any modern data integration platform can support it.
因此，说元数据集成是随需应变业务的“大脑”一点都不夸张。
Therefore, it is not an overstatement to say that metadata integration is the brain of an on Demand Business.
外部数据集成许多公司需要整合业务合作伙伴的数据。
External data Feed Integration. Many companies need to integrate data coming from business partners.
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。
Data integration can involve complex transformation rules, error checking and data standardization techniques.
通过使用自助服务聚合和业务数据集成，社区用户能够提高生产力。
Productivity increases can be gained within the user community by enabling self-service aggregation and integration of business data.
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。
Unlike some of the other data integration models, SDO doesn't stop at data abstraction.
信息管理解决方案的实现策略中的数据集成技术和主数据管理因素。
Technologies for data integration and master data management factor in an implementation strategy for the information-management solution.
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。
Summary: data integration in an enterprise of data sources is one of the most common requirements of any database shop.
数据整合模式将数据集成任务从数据访问任务中分离出来。
The data consolidation pattern decouples the data-integration task from the data-access task.
元数据集成相对数据和内容集成来说，需要更高级别的自动化和编制。
Metadata integration requires higher levels of automation and orchestration than data and content integration.
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。
Semantic mismatches and incompatible data formats are a staple of data integration and are not likely to vanish.
使用医疗数据集成遗留机制实现和长期支撑一个HIN在财务上并不可行。
Using legacy mechanisms of healthcare data integration are simply not financially feasible to implement and sustain a HIN over the long term.
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