• OCLC is working to connect these data silos.

    OCLC正在努力把这些数据的竖井连接起来。

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  • These warehouses act like data silos and require effort, money, and expertise to mine for business knowledge.

    这些仓库就像是杂乱的地下室,需要花费人力、资金和专门技能才能挖掘出业务知识。

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  • MDM emerges as a pattern of semantic interoperability responding to data silos produced by departmental solutions.

    MDM作为一个语义互操性模式出现,与由部门解决方案产生的数据竖井相对应。

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  • Each of the data silos mentioned corresponds to one or more so called data Sources within the WebSphere Process Server cell.

    上面提到的每个数据竖井对应于WebSphere Process Server单元中的一个或多个所谓的数据源。

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  • Casting a wide net helps you break down the data silos that hamper analysis and allows you to deliver a timely and complete enterprise view of relevant information.

    广撒网可帮助您克服影响分析的数据筒仓问题,并能交付及时、全面的相关信息的企业视图。

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  • Many enterprises are also finding tools that conform to these standards valuable for combining data from multiple silos within their own organizations, before adding in any publicly available data.

    很多企业也发现,符合这些标准的工具对于在加入任何公共可用的数据之前在其企业内组合多个源的数据是很有价值的。

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  • On one hand services themselves are mini applications; on another hand, the whole purpose of SOA was to break applications silos – islands of data and automation.

    一方面,服务本身是迷你型应用;而另一方面,SOA的整体目标是打破应用竖井——数据和自动化的孤岛。

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  • These entities are known as master data and many companies suffer today from low-quality master data scattered across the enterprise in various application silos.

    这些实体称为主数据。在当今的许多公司中,质量很差的主数据分散在不同的应用领域中,这给公司带来很多麻烦。

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  • The product-oriented application silos that comprise most core banking solutions lead to data redundancy for core bank data domains, such as customer and product data.

    面向产品的应用程序竖井(silo)组成了大多数核心银行解决方案,带来了核心银行数据领域(如客户和产品数据)的数据冗余。

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  • Maintains disconnected silos of information that may duplicate each other or contain different sets of data that cannot be reconciled.

    维护着若干个互不相连的信息仓库,彼此包含重复的信息,或包含无法协调的不同数据集。

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  • These features make it easier to break down information silos and integrate business data from databases and Web services across different organizations.

    这些特性使我们可以更轻松地对信息进行分解,同时还能够跨越不同组织将来自于数据库和WebServices的业务数据集成起来。

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  • Semantic technologies provide an abstraction layer above existing IT technologies, one that enables the bridging and interconnection of data, content, and processes across business and IT silos.

    Semantic技术在现有的IT技术之上提供了一层抽象,它跨越业务和IT仓库在数据、内容和过程之间架设了一座桥梁,使其可以相互连接在一起。

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  • Although a data warehouse delivers many new benefits, it doesn't solve the problem of analytic silos.

    尽管数据仓库带来许多好处,但是仍无法完全解决数据一致性的问题。

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  • To support analytics, reporting, or providing a 360-degree view of entities such as the customer, data is collected from multiple silos around the enterprise.

    为了支持进行分析、报告或提供实体(如客户)的360度视图,将从企业的多个竖井(Silo)收集数据。

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  • Data is freed from application silos and made accessible through open and well-defined interfaces.

    数据从应用孤岛中解放出来,并通过公开和公认良好的接口获得访问。

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  • Organizational silos have traditionally compounded problems of data accuracy.

    公司孤岛都有传统上数据准确性的复合问题(compounded problem)。

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  • Organizational silos have traditionally compounded problems of data accuracy.

    公司孤岛都有传统上数据准确性的复合问题(compounded problem)。

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