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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Research on Real Time Data Warehouse Architecture
verfasst von : Rui Jia, Shicheng Xu, Chengbao Peng
Erschienen in: Information Computing and Applications
Verlag: Springer Berlin Heidelberg
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Real time data warehouse is the research hotspots of data warehouse. It expands the application scope of data warehouse and provides real-time decision-making system for business users. This paper describes the concepts of real time data warehouse and proposes a real time data warehouse architecture which is based on real-time cache storage. The architecture consists of three main components: real-time data capture and integration, business event management component and view materialization decision. There are two key technologies: real-time data extraction and materialized view decision-making. This paper describes existing solutions and their shortcomings, then proposes feasible technical solutions: real-time data extraction based on transaction log analysis and materialized view estimation model with time factor.