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Event-Feeded Dimension Solution

机译:事件馈送尺寸解决方案

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From the point of view of a data warehouse system its part of collecting and receiving information from other systems is crucial for all subsequent business intelligence applications. The incoming information can be classified generally in two types, the state-snapshot data and the state-change or event data usually called transactional data, which contains information about the change processes applied on the instances of information objects. On the way towards active data warehouses it becomes more important to provide complete data with minimal latency. We focus in this paper on dimensional data provided by any data-master application. The information transfer is done via messages containing the change-information of the dimension instances. The receiving data warehouse system is able to validate the event-messages, reconstruct the complete history of the dimension and provide a well applicable "comprehensive slowly changing dimension" (cSCD) interface for well-performing queries on the historical and current state of the dimension. A prototype implementation of "active integration" of a data warehouse is proposed.
机译:从数据仓库系统的角度来看,它的收集和接收来自其他系统信息的一部分对于所有后续的商业智能应用来说至关重要。传入信息通常可以分为两种类型,状态快照数据和通常称为事务数据的状态更改或事件数据,其包含关于应用于信息对象实例上的改变过程的信息。在朝向活动数据仓库的路上,提供具有最小延迟的完整数据变得更加重要。我们专注于本文的任何数据主机应用程序提供的维度数据。通过包含维度的更改信息的消息完成信息传输。接收数据仓库系统能够验证事件消息,重建维度的完整历史记录,并提供适用的“全面缓慢更改维度”(CSCD)接口,以便在维度的历史和当前状态下进行良好的验证。提出了数据仓库的“活动集成”的原型实现。

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