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Multiversion Spatio-temporal Telemetric Data Warehouse

机译:多版本时空遥测数据仓库

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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:当前数据仓库的关键问题之一是隐含的关于​​时间维度的维度不变性假设。这种假设妨碍了对维度数据更改的正确处理。同时,我们可以举一些例子,表明有必要考虑尺寸数据的修改-忽略这些更改会导致错误的分析,从而导致错误的决策。本文介绍了已实现的时间遥测数据仓库系统,该系统为用户提供了查询包含许多结构版本的时间间隔的能力。该系统还通知用户有关在单独的结构版本中发生的修改。

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