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ON NEW ROLL-UP POSSIBILITIES FOR DATA STREAM WAREHOUSE

机译:数据流仓库的新汇总可能性

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摘要

Data stream is a continuous real time ordered sequence of data. Recently, efforts have been made to create a multidimensional cube for data streams so that analytic processing is possible. However, this analysis restricts itself to standard OLAP operations. No attempt has been made to address the inherent time ordering that exists with the data of data streams. In this paper we introduce new functionalities for roll-up so that the inherent ordering of data in data streams can be exploited to enhance decision making.
机译:数据流是连续的实时有序数据序列。近来,已经做出努力来创建用于数据流的多维立方体,从而使得分析处理成为可能。但是,此分析将自身限于标准的OLAP操作。尚未尝试解决数据流数据中存在的固有时间顺序。在本文中,我们介绍了汇总的新功能,以便可以利用数据流中数据的固有顺序来增强决策能力。

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