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Experimental results on change data capture methods implementation in different data structures to support real-time data warehouse

机译:实验结果对不同数据结构中的更改数据捕获方法实现,以支持实时数据仓库

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摘要

The need for rapid decision making in the organisation, causing the importance of developing a real-time data warehouse system. In addition, what also needs to be considered is how to make the extract, transform, load (ETL) processes carried out, would not interfere the performance of the operational database being used. One of the methods that can be used is change data capture. Nowadays, the data sources that companies used for many operations are usually coming from different sources. The proposed research will identified which one is the best change data capture method from three types of methods in three database application for each type of data structure to be tested, that supports the RTDW system making process. From the results of research conducted it is proved that the best change data capture method is different for each type of data source tested in the same environment.
机译:需要在组织中快速决策,从而导致开发实时数据仓库系统的重要性。此外,还需要考虑如何使提取,转换,加载(ETL)进程进行,不会干扰正在使用的操作数据库的性能。可以使用的方法之一是更改数据捕获。如今,用于许多操作的数据来源通常来自不同的来源。拟议的研究将识别哪一个是来自三种数据库应用程序中的三种类型方法的最佳变化数据捕获方法,用于测试每种类型的数据结构,支持RTDW系统制作过程。从研究结果进行了研究,证明了在同一环境中测试的每种类型的数据源不同的变化数据捕获方法是不同的。

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