Business Intelligence

Change Data Capture on OLTP Staging Area for Nearly Real Time Data Warehouse Base on Database Trigger

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Executive Summary

A conventional data warehouse use to produce summary from an organization information system in a long time period. This condition will make the management unable to get the most up to date data every time it needed. Therefore a nearly real time data warehouse which will manage the ETL process with a more compact data and a shorter period is needed. The design of nearly real time data warehouse in this research is implemented in two steps. The first step is done by data collection technique modeling to make a more compact ETL data managed. This step is done by putting the staging area on an Online Transactional Processing (OLTP). It can minimize the failure of data movement process from the OLTP to the staging area.

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