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Multiversion Spatio-temporal Telemetric Data Warehouse

机译:多数时空遥测数据仓库

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One of the crucial problems characterizing current data warehouses is the implicit assumption of dimension invariance with respect to the time dimension. This assumption inhibits the proper treatment of changes in dimension data. Meanwhile, we can give examples indicating that it is necessary to take into consideration the modifications of dimension data - ignoring such changes leads to incorrect analysis which then results in wrong decisions. This article describes the implemented temporal telemetric data warehouse system, which provides the user with the ability to query about the time interval embracing many structure versions. The system also informs the user about modifications which occurred in separated structure versions.
机译:特征在于当前数据仓库的重要问题之一是对时间维度的尺寸不变性的隐含假设。该假设抑制了对尺寸数据变化的正确处理。同时,我们可以提供示例,表明有必要考虑维度数据的修改 - 忽略这些变化导致不正确的分析,然后导致错误的决策。本文介绍了实现的时间遥测数据仓库系统,为用户提供了查询拥有许多结构版本的时间间隔的能力。该系统还向用户通知分离结构版本中发生的修改。

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