Integration of data source using query processing for distribute heterogeneous environment

A. Rajawat, Upendra Dwivedi, D. Jain, A. Upadhyay
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引用次数: 2

Abstract

Now day's data integration is the new era of research of combining data residing at different sources and providing the user with a unified view. The problem with designing of data integration system is challenging task in real world applications. Characterization of integrated is interesting from a conceptual point of view. This research presents an overview of data integration of the given material. In this research, we are highlighting some of the theoretical issues that are relevant and important for data integration. We are emphasizing on some aspects of modeling that includes data integration applications, processing queries in data integration, dealing with inconsistent data source and reasoning on queries. Our proposed methodology defines coverage of schemas and query processing for distribute data sources followed by the query optimization, query languages implementation for querying structured, semi structured and unstructured data. and reducing data inconsistencies during data integrations.
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分布式异构环境下使用查询处理的数据源集成
当前的数据集成是将不同来源的数据结合起来,为用户提供统一视图的研究新时代。在实际应用中,数据集成系统的设计问题是一项具有挑战性的任务。从概念的角度来看,集成的特征是有趣的。本研究概述了给定材料的数据集成。在本研究中,我们强调了一些与数据集成相关且重要的理论问题。我们将重点介绍建模的一些方面,包括数据集成应用程序、处理数据集成中的查询、处理不一致的数据源以及对查询进行推理。我们提出的方法定义了分布式数据源的模式和查询处理的覆盖范围,然后是查询优化、查询语言实现,用于查询结构化、半结构化和非结构化数据。并减少数据集成过程中的数据不一致性。
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