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Active and Real-time Data Warehousing: Issues and Practices

机译:主动和实时数据仓库:问题和实践

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The advent of information technology has squeezed together our business time to increasingly real-time. Businesses must operate in real-time to stay competitive. Traditional data warehouses have been passive repositories of historical data to support strategic business decisions. Now a days most of the businesses needs up to dated information to support strategic as well as tactical decisions. The move to active and realtime data warehousing is ongoing and evolutionary to support today's business needs. The era of Internet and the dawn of E-business are also encouraging this shift. The literature motivates the need for and research issues arising from active and real-time data warehousing. A literature review provides the meaningful context to our paper, within the universe of existing research that has been previously conducted. In this paper, we critically review the literature; explore the topics of near real-time data integration, active analysis mechanism and limitations of existing approaches. The literature reveals overall picture of active and real-time data warehouses. This work is significant in a sense that it provides an overview of existing methods and technologies for active and real-time data warehousing practices and highlights possible future trend.
机译:信息技术的出现已经挤在营业时间越来越实时。企业必须实时运营以保持竞争力。传统数据仓库一直是历史数据的被动存储库,以支持战略业务决策。现在,大多数企业都需要提出日期的信息,以支持战略和战术决策。转向主动和实时数据仓库正在进行和进化以支持当今的业务需求。互联网的时代和电子商务的黎明也令人鼓舞这种转变。该文献激励了来自主动和实时数据仓库产生的需求和研究问题。文献综述为我们论文提供了有意义的背景,以便在先前进行的现有研究中的宇宙中。在本文中,我们重视文献;探索近实时数据集成,积极分析机制和现有方法的限制的主题。文献揭示了主动和实时数据仓库的整体情况。这项工作在某种意义上是重要的,即它概述了现有的现有方法和技术,用于积极和实时数据仓库实践,并突出可能的未来趋势。

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