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Assimilation of Heterogeneous Resources by Utilizing a Unified Format of XML for Constructing OLAP Cubes

机译:通过使用统一的XML格式构造OLAP多维数据集来吸收异构资源

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Data explosion in quantity and diversified sources of data in variety pose certain problems in data storage on heterogeneous repositories for online analytical processing (OLAP). Over the years, Extensible Markup Language (XML) is emerged as a standard language for integrating and exchanging structural and semi-structured data from heterogeneous and miscellaneous data sources. In this paper we presented a multi-layered model for resolving the complexity of heterogeneous resources as well as multi formatted data. Specifically, the model amalgamates data from an assortment of resources by using XML and transforms them in to data cubes namely X-cubes. Likewise, XML is incorporated into OLAP for generating multidimensional cube called XOLAP. To support this new data cubes, a query translator as a user interface is implemented. A significant contribution of this model is that it facilitates gathering data from heterogeneous data sources and provides a unified format for handling OLAP queries in order to construct multidimensional cubes.
机译:在在线分析处理(OLAP)的异构存储库上的数据存储中,数量激增的数据爆炸和各种各样的数据源提出了某些问题。多年来,可扩展标记语言(XML)成为一种标准语言,用于集成和交换来自异构和其他数据源的结构和半结构数据。在本文中,我们提出了一个多层模型来解决异构资源以及多种格式数据的复杂性。具体来说,该模型通过使用XML将来自各种资源的数据合并在一起,并将其转换为数据多维数据集,即X多维数据集。同样,XML被合并到OLAP中以生成称为XOLAP的多维多维数据集。为了支持这个新的数据立方体,实现了一个查询翻译器作为用户界面。该模型的重要贡献在于,它有助于从异构数据源收集数据,并提供了用于处理OLAP查询的统一格式,以便构造多维数据集。

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