Ownership of enterprise data by services.
服务对企业数据的所有权。
Enterprise data access as a business service.
将企业数据存取封装为业务服务。
It is a proven enterprise data synchronization product.
它是可靠的企业数据同步产品。
Aligning enterprise data support with the business services.
使用业务服务协调企业数据支持。
Information Integration — federates and moves the enterprise data.
信息集成——联合和移动企业数据。
Lotus Domino is an excellent platform for working with enterprise data.
LotusDomino是一个用于企业数据的优秀平台。
Input data from either Microsoft Office Excel or enterprise data sources.
从MicrosoftOfficeExcel或企业资料来源输入资料。
Patterns for incorporating of the enterprise data in the SOA implementations
SOA实现整合企业数据的模式
Access to enterprise data sources through automated role-based entitlement systems.
通过基于角色的自动化授权系统实现对企业数据的访问。
Create enterprise data standards, verify compliance, and generate compliant models.
创建企业数据标准、检验遵从性，并生成遵从标准的模型。
Today's enterprise data is typically scattered between multiple siloed applications.
今天的企业数据一般分散在多个应用“竖井”中。
Reuse: data services serve as reusable building blocks of operations on enterprise data.
重用：数据服务可作为操作企业数据的可重用构建单元。
This can significantly simplify consumption of the enterprise data by business services.
通过业务服务大大简化了企业数据的消费。
Entity beans offer five essential advantages as an enterprise data persistence mechanism.
作为企业数据持久性机制，实体bean有五个主要优点。
As a result, aligning of the enterprise data with enterprise services becomes a daunting task.
这导致将企业数据向企业服务调整变成一项令人怯步的任务。
In this pattern enterprise data access is incorporated in the business service implementation.
在这个模式里，企业数据存取已经合并到业务服务实现中。
The ESB also is designed to integrate enterprise data centers and public cloud infrastructures.
ESB同时被设计为可以对企业数据中心和公共云架构进行。
In particular, it brings Enterprise Data Management at the core of your Service Oriented Architecture.
尤其是，它将企业数据管理带到了面向服务架构的核心位置。
This is because it is not always feasible to consolidate enterprise data into a data mart or warehouse.
这是因为，将企业数据合并到专用数据栈或数据仓库之内并不总是可行。
This SA shows how you can mix enterprise data and user-defined data to increase employee collaboration.
这个SA表明了如何能够混合企业数据和用户定义的数据来加强员工协作。
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。
These are called conforming dimensions, and they are an early step to building an enterprise data warehouse.
这称为符合维度，这是构建企业数据仓库的前期步骤。
This can lead to misinterpretation and misrepresentation of the data contained in the enterprise data source.
这会导致对企业数据源中包含的数据的误解和误传。
So we're exposing our enterprise data platform to the enterprise via services rather than direct query access.
所以，我们向企业以服务的形式暴露企业数据平台，而不是直接提供服务查询功能。
Enterprise data sources are created over stretches of time and may contain fields that are obscure and not used.
企业数据源是在各个时间段内创建的，可能包含不明确或未使用的字段。
Enterprise data is stored in multiple systems and require multiple interfaces or mechanisms to interact with them.
企业数据被存储在多个系统中，要想与之交互需要多个接口或多种机制。
Existing host-based applications and enterprise data are accessible from the ESB through a set of access services.
现有的基于主机的应用程序和企业数据都可以通过一组访问服务从ESB访问。
Manufacturing companies and stagnated enterprise data management deals can be a place to apply these technologies.
制造企业和停滞不前的企业级数据管理软件可能是这些技术大显身手的地方。
In the process, semantics help describe the underlying business meaning of the enterprise data in a unified manner.
在该过程中，语义帮助统一地描述企业数据的基础业务含义。
In the process, semantics help describe the underlying business meaning of the enterprise data in a unified manner.
在该过程中，语义帮助统一地描述企业数据的基础业务含义。
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