跨异构数据源的高级数据和查询联合。
Advanced data and query federation across heterogeneous data sources.
简述异构数据源中的数据抽取技术。
Describe techniques for extracting from heterogeneous data sources.
将异构数据源联邦为一个无缝的系统可提供以下优势。
The federation of diverse data sources into a seamless system provides.
soa使用者请求需要访问来自多个异构数据源的信息的服务。
SOA consumers request a service that requires access to information from multiple heterogeneous sources.
这种思想不仅适用于同构数据源，也适用于异构数据源。
This idea not only is applicable for homogenous data sources but heterogeneous ones as well.
详细介绍了集成平台中异构数据源包装器的设计和实现。
Finally, the design and implementation of heterogeneous data source wrapper in the integration platform is introduced in detail.
随着数据库和网络技术的飞速发展，大量的异构数据源应运而生。
With the rapid developments of database and network technology, a large number of heterogeneous data sources come into being.
异构数据集成系统的目的是提供一个访问异构数据源的统一接口。
The purpose of data integration is providing a standard interface for visiting heterogeneous data sources.
它概括、清理和转换来自异构数据源的数据，以生成一致的、精确的商业数据。
It profiles, cleanses, and transforms data from heterogeneous data sources to deliver consistent and accurate business data.
当对来自异构数据源的数据进行集成时，这种方法应用强大的功能来解决其中的冲突。
This approach applies powerful capabilities to resolve conflicts when data is integrated from heterogeneous sources.
最后，根据这个方法实现了综合教务系统和人事系统异构数据源之间的数据集成。
At the end, it is implement the hetero-structure data source integration and develop the educational administration system using this method.
越来越多的用户希望能够同时访问和处理多个不同网络节点的异构数据源中的数据。
More and more users expect to access and deal with the data stored in heterogeneous sources of different network nodes.
许多应用要求对相关信息源进行综合查询，因此必须解决这些异构数据源的语义互操作。
Meanwhile, many applications require the integrated query from related information resources, which arises the problem of semantic interoperation in heterogeneous information resources.
随着对信息综合利用需求的进一步提高，人们迫切希望解决这些异构数据源的集成问题。
As the increasing requirements of comprehensive information utilization, it is an urgent need to address integration issues on these heterogeneous data sources.
这些异构数据源的存在使应用开发者面临很大的挑战，因为他们需要学习的编程模型非常多。
This heterogeneity poses a significant challenge for application developers because of the broad diversity of programming models they need to learn and use.
因此，如何集成基于XML表示的异构数据源，实现有效的信息查询，成了一个亟待解决的问题。
Thus, how to integrate heterogeneous data sources based on XML representation so as to achieve efficient information query has become the key problem needed to solve urgently.
通用中间层的一些示例有：应用服务器(用于包含应用程序)、联合服务器(用于透明地访问异构数据源)。
Some examples of common middle tiers include application servers (for hosting applications) and federation servers (for transparent access to heterogeneous data sources).
系统通过整合多个异构数据源，建立企业知识体系，实现对企业结构化数据和其结构化数据的管理。
Through integration of several heterogeneous data sources, the enterprise knowledge system was established, which can be used to manage the structured and non-structured data for the enterprise.
数据服务中间件的主要功能包括数据的位置透明性、分布式数据查询、事务处理、异构数据源兼容。
Main functions of data access middleware are location transparency, distributed data query, transaction process and heterogeneous data sources compatibility.
本文的研究为解决大学数据中心建设面临的异构数据源集成问题提供了有益的理论依据和实践指南。
This article has provided the beneficial theory basis and the practice guide for heterogeneous data integration problems which university data center are facing.
刚才已提到，SDO的重点是为异构数据源中数据提供一个灵活的数据对象表示，并为开放式并发提供内置支持。
As mentioned, the focus of SDO is on providing a flexible data object representation for data from heterogeneous data sources and built-in support for optimistic concurrency.
对企业异构数据源进行集成是消除信息“孤岛”的有效途径，因而数据集成成为当前的研究热点之一。
As an effective approach to eliminate the information 'lonely island' by integrating the heterogeneous data, data integrating has become the current research hot topic.
其中如何解决异构数据源之间存在的系统异构、语法异构和语义异构问题就成为一个非常重要的研究课题。
Therefore, how to resolve the system heterogeneity, syntax heterogeneity and semantic heterogeneity between data sources becomes a critical research subject.
本文结合当前企业信息集成技术，提出了一种统一的异构数据源集成模型——基于XML的虚拟数据库模型。
Combined with enterprise information integration technology. this article advanced a standard integration of heterogeneous data sources that called virtual database model based on XML.
异构数据源的集成问题是当前数据处理领域内研究的一个热点，它能更有效地利用信息资源、实现数据共享。
The integration of heterogeneous data sources, which can exploit the information resources effectively and realize the data-sharing, is one of the vexed points in the current data processing field.
本文论述了使用XMLDTD建模技术，分别建立各个异构数据源连接信息模型与元数据映射模型的方法。
The article expatiates on a method of establishing heterogeneous data sources to connect the information model and the metadata mapping model by using the XML DTD modeling technique.
数据库访问中间件是所有中间件中最成熟的一种，它支持应用程序和本地或异地的同构或异构数据源进行通信。
Database access middleware is the most sophisticated of all kinds. It supports communication in the application and data sources, which can be local or remote and isomorphism or heterogeneous.
数据的单一API：除了开放式并发的支持外，在处理多个异构数据源时，您会认识到使用SDO 的另一个主要好处。
Single API for data: In addition to the optimistic concurrency support, another major benefit to using SDO is realized when working with multiple heterogeneous data sources.
数据的单一API：除了开放式并发的支持外，在处理多个异构数据源时，您会认识到使用SDO 的另一个主要好处。
Single API for data: In addition to the optimistic concurrency support, another major benefit to using SDO is realized when working with multiple heterogeneous data sources.
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