数据整合方法包括三个主要阶段。
应用数据整合模式的危险领域。
应用数据整合模式的主要领域。
数据整合模式的价值主张。
这将需要的从多个来源的信息进行数据整合。
It will require the ability to mashup data, pulling information from multiple sources.
应用数据整合模式的传统的、最典型场景包括
The most typical scenarios in which the data consolidation pattern has traditionally been applied are
对电力调度数据整合的研究与实践。
This paper introduces hardware and software of dispatching automation system of power network .
在数据联邦和数据整合中也有相似的问题。
Similar patterns exist within data federation and data consolidation.
科学家们并不是唯一渴望能更好地进行数据整合的人。
Scientists are not the only ones who need better data integration.
数据整合模式并不需要特定的目标数据模型。
The data consolidation pattern does not require a specific target data model.
介绍“超声信息管理系统”中的数据整合研究。
This paper introduces the study of data integrating in an ultrasound information management system.
在本文中，我们重点关注于结构化数据的数据整合模式。
In this article, we have focused on the data consolidation pattern for structured data.
在很多情况下，数据清理模式与数据整合模式一起应用。
In many cases, the data cleansing pattern is applied together with the data consolidation pattern.
哪个操作系统最可能首先把语音和其它数据整合在一起呢？
Which OS is most likely to integrate voice and other data first?
在把以前所有的数据整合后，研究者们对数据进行了新的分析。
In the new analysis, all of the data from these previous studies were pooled together.
简便地整合数据及应用程序。
应用程序数据的整合是必需的，且由应用程序服务器引擎确保。
Application data integrity is essential, and is ensured by the application server engine.
整合项目并没有止步于数据中心。
Consolidation projects don't have to stop at the data center.
第二，数据需要进行整合以重建一个疾病知识网络。
Second, data need to be integrated to construct a disease knowledge network.
所谓的数据仓库是一种基于信息的管理和整合的技术。
The data warehouse is based on a so-called information management and integration technologies.
数据的管理和整合由数据层完成。
The management and conformity of data are completed by data layer.
为了构建新的知识，生物学数据的多种来源常常必需被整合。
In order to build new knowledge, various sources of biological data must often be combined.
有好几种方法可以整合这两种图的数据。
There are several approaches for combining the data from the two graphs.
这个人口统计学家将会整合这些数据并分析人类的居住条件。
The demographer will coordinate data collection and analysis on human settlements conditions.
然后数据被从不同的数据源整合进入这个企业级数据仓库中。
What will it take to get your data warehouse to the next level?
然后数据被从不同的数据源整合进入这个企业级数据仓库中。
What will it take to get your data warehouse to the next level?
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