基于网格的企业数据集成是一种新的集成模式，是实现企业网格应用的基础。
The enterprise data integration based on Grid is a new integration mode, this is the foundation for the business application of grid.
越来越多的企业逐渐视数据仓库为企业数据集成平台，为企业提供单一真实数据视图。
More and more enterprises consider data warehouse as data integrations platform, which provides a single version of truth about data to analytical users to make decisions.
如果您能够将SOA和数据集成技术结合在一起，那么通过可重用性、与其他企业应用程序之间增加的通信，以及Web服务的使用，都将使您从中受益。
If you can combine both SOA and data-integration technologies, you benefit through reusability, increased communication with other enterprise applications, and the use of Web services.
由于系统没有集成，大多数企业缺乏有效地聚合数据的能力，因此必须实现许多代价昂贵的自定义代码来满足业务需求。
Because their systems are not integrated, most enterprises lack the ability to effectively aggregate data, and therefore, must implement lots of costly custom code to satisfy business requirements.
信息（数据）集成视图处理可以跨企业集成的各种形式的业务信息。
The Information (data) integration view deals with diverse forms of business information that can be integrated across the enterprise.
在那些研究员需要集成内部的和外部资源的数据的企业(比如一家制药公司)，这样的一个服务可以作为企业的中央中心来使用。
Such a service could be used as the central authority for an enterprise, such as a pharmaceutical company, where researchers needed to integrate data from internal as well as external sources.
团队需要讨论与现有的企业系统的集成，如LDAP和数据库基础设施。
The team needs to discuss integration with existing enterprise systems, such as LDAP and your database infrastructure.
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.
使一个企业中的所有应用程序以集成方式运行以便提供统一而一致的数据和功能是一项非常艰难的任务。
Making all the applications in an enterprise work in an integrated manner to provide unified and consistent data and functionality is a difficult task.
企业数据存取集成，一般不会直接依靠企业数据存储——在数据存取和验证时，它们通常利用已有的遗留实现。
Enterprise data access integrations are typically not going directly against enterprise data store - they usually leveraging existing legacy implementations for both access and validation of data.
在SOA环境中，可以将首选数据源模式作为企业应用程序集成(EAI)模式，因而典型EAI模式的优缺点也适用于此处。
The Preferred Data Source pattern is considered an Enterprise Application Integration (EAI) pattern in an SOA context; thus the strengths and weaknesses of typical EAI patterns apply here.
而业务价值则应获取自让这些事件成为一种业务过程可使用的形式并将它们与企业内的其他业务数据元素相集成。
The business value, though, is derived from getting those events into a business process consumable form and integrating them with the other business data elements within the enterprise.
已经修改了该文件，以便进行企业集成，它包括一个数据源域。
This file has been modified for the enterprise integration, including a data source realm.
使用处理层的集成，企业可以在应用程序之间交换数据来完成业务处理。
With process-level integration, enterprises can exchange data across applications to fulfill a business process.
这使得常常很难区分以功能重用为目的的集成和以企业数据存取为目的的集成。
This makes it often difficult to distinguish between integrations aimed at the functional reuse and integration aimed at the enterprise data access.
这牵涉到获取，集成以及聚合多个来源的数据并提供及时且一致的企业状态视图，以及相关事件与趋势。
This involves the capture, integration and aggregation of data from various sources to provide a timely and consistent view of the state of the enterprise as well as relevant events and trends.
如果企业架构能够集成来自各种源系统的业务和技术元数据，就可以解决这些问题。
These problems can be solved through an enterprise architecture that integrates business and technical metadata from various sources.
实现这种集成的关键是构建一个企业级的元数据存储库，作为所有元数据的单一可信来源。
The key to achieving such integration is to build an enterprise-level metadata repository that ACTS as a single source of truth for all metadata requirements.
企业应用集成(EAI)是指对不同应用间数据和过程的集成，对于IT部门来说，它一直是架构性的鸡肋。
Enterprise application Integration (EAI) refers to integrating data and process across disparate applications, and has long been the fly in the architectural ointment for it departments.
数据质量将影响企业信息管理策略的成功与否，企业信息管理策略决定了其业务集成策略的成败。
Data quality can make or break an enterprise information management strategy, which in turn determines the success of its business integration strategy.
企业应用集成(EAI)是集成应用之间数据和服务的一种应用技术。
Enterprise application integration (EAI) is an application of technology defined as the integration of data and services between applications.
EDM允许支持数据企业视图，用以帮助降低数据冗余、提高数据质量以及加速项目的集成和新项目的开发。
EDM allows an enterprise view of data which helps to reduce data redundancy, improve data quality, and speed up integration and green-field projects.
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.
有三种主要的信息集成模式可用于实现语义互操作性：数据联合、数据整合和企业应用集成（EAI）。
There are three major information integration patterns to achieve semantic interoperability: data federation, data consolidation and Enterprise Application Integration (EAI).
企业级集成的特征包括跨系统分布式事务、对关键数据交付使用基于队列的消息，或各种其他类型的服务。
Characteristics of enterprise integration include distributed transactions across various systems, queue-based messaging for critical data delivery, or various other types of services.
采用这种统一的视图，我们就可以精确地检索信息，无缝地进行企业系统集成，因为业务处理过程和各种数据源都可以通过一种通用的元数据模型相互进行映射。
This unified view allows for precise retrieval of information and seamless enterprise integration, as business processes and various data sources can map to each other through a common meta-model.
通过利用XML的强大功能，可以很容易地将云数据集成到一个现有的企业应用程序中。
By leveraging the power of XML, you can easily integrate cloud data into existing enterprise applications.
信息集成——联合和移动企业数据。
Information Integration — federates and moves the enterprise data.
他描述了几种规范的推荐纲要，为企业实现数据集成提供了整体的解决方案。
He Outlines several prescriptive recommendations providing a holistic solution to a data integration problem for an enterprise.
采用SOA和Web 2.0的策略：考虑用数据联邦(Data Federation)和企业架构集成(Enterprise architecture integration)的模式，降低总的拥有成本。
Adopt SOA and Web 2.0 Strategies: consider the Data Federation and Enterprise architectural integration patterns to reduce the Total Cost of Ownership.
应用推荐