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A Comparative Study Between the Performance of Relational & Object Oriented Database in Data Warehousing

机译:关系型数据库和面向对象数据库在数据仓库中的性能比较研究

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A data warehouse is a repository of subjectively selected and adapted operational data which can successfully answer any ad hoc, statistical, complex or analytical queries. Data warehousing technology is becoming essential for effective business intelligence, business strategy formulation and implementation in a globally competitive environment where in larger and larger amounts of data are required to be processed faster and faster for comprehension of its real meaning and impact. A warehouse is a subjectoriented, integrated, time-variant and non-volatile collection of data in support of management's decision making process”. Data that gives information about a particular subject instead of about a company's ongoing operations. It is integrated as data that is gathered into the data warehouse from a variety of sources and merged into a coherent whole. Data warehouse system is time variant as all data in the data warehouse is identified with a particular time period This paper discusses in detail two existing database models used for data warehousing, the relational database and object oriented database and does an analysis of the benefits of Object Oriented databases over the conventional relational database in Data warehousing.
机译:数据仓库是主观选择和修改的运营数据的存储库,可以成功回答任何临时,统计,复杂或分析性查询。在竞争激烈的全球环境中,数据仓库技术对于有效的商业智能,业务战略制定和实施变得至关重要,在这种环境中,越来越多的数据需要被越来越快地处理以理解其真实含义和影响。仓库是面向主题的,集成的,随时间变化且非易失性的数据收集,以支持管理层的决策过程。提供有关特定主题而不是公司正在进行的运营的信息的数据。它被集成为从各种来源收集到数据仓库中的数据,并合并成一个连贯的整体。数据仓库系统是随时间变化的,因为数据仓库中的所有数据都是在特定时间段内标识的。本文详细讨论了用于数据仓库的两个现有数据库模型,即关系数据库和面向对象的数据库,并对对象的好处进行了分析。面向数据仓库中常规关系数据库的数据库。

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