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Architecture for Near Zero Latency in Datawarehouse

机译：数据仓库中接近零延迟的架构

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摘要

Data warehouse (DW) has been widely recognized as an effective solution for integrating diverse information systems. In addition, DW supplies a platform for business intelligence applications which aims to improve the process of decision making. At execution level, after the first load, DW is regularly populated with fresh data by ETL (Extraction, Transformation and Loading) processes. In real setting, DW refreshment is an event managed by DW administrators. Still, non freshness of data is a drawback of classical DW system. In this paper, we suggest a solution for this issue by presenting architecture of near real time DW. We visit DW system layers and we show how they should cooperate. Finally, we define the scope and the challenge of each layer simultaneously with our suggestion to fill its mission.
机译：数据仓库（DW）被公认为是集成各种信息系统的有效解决方案。此外，DW还为商业智能应用程序提供了一个平台，旨在改善决策过程。在执行级别，第一次加载后，将通过ETL（提取，转换和加载）过程定期用新数据填充DW。在实际环境中，DW刷新是由DW管理员管理的事件。尽管如此，数据的不新鲜仍然是传统DW系统的缺点。在本文中，我们将通过提出近实时DW的体系结构为这一问题提供解决方案。我们访问了DW系统层，并展示了它们应该如何合作。最后，我们定义每个层的范围和挑战，同时提出建议以完成其任务。

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