异构数据仓库的构建与维护

S. Hamdoun, F. Boufarès, Mohamed Badri
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引用次数: 5

摘要

这项工作描述了通过集成异构关系数据和对象关系数据来构建数据仓库。事实上,开发智能工具来集成从多个异构源提取的信息是一个具有挑战性的问题,以有效地利用全球信息系统中可用的众多资源。由于数据源的异构性,仓库使用了不同的查询语言和不同的数据模型。因此,后者的构建可以通过几种方式进行。我们的工作是基于源之间模式间关系的提取。与此相关,将生成一个全局模式,并构造数据仓库的视图。针对Oracle的不足,给出了相应的维护流程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction and Maintenance of Heterogeneous Data Warehouses
This work describes the construction of a data warehouse by the integration of heterogeneous relational and object-relational data. In fact, developing intelligent tools for the integration of information extracted from multiple heterogeneous sources is a challenging issue to effectively exploit the numerous sources available in global information systems. Due to the heterogeneity of the sources, various languages of interrogation and different data models are used for the warehouses. Thus the construction of the latter can be made in several manners. Our work is based on the extraction of the inter-schema relationships between the sources. Related to this, a global schema is generated and the views of the data warehouse are constructed. A maintenance procedure is also presented to mitigate the insufficiency of Oracle.
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