High Performance Historical Available Data Backup Strategy in Data Warehouse

Xiufeng Xia (), Lingyu Xu, Qing Li, Weidong Sun, Suixiang Shi and Ge Yu
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Xiufeng Xia: Northeastern University, School of Information Science & Engineering
Lingyu Xu: Shanghai University, School of Computer Science & Engineering
Qing Li: Shanghai University, School of Computer Science & Engineering
Weidong Sun: Shenyang Institute of Aeronautical Engineering, School of Computer Science & Engineering
Suixiang Shi: Northeastern University, School of Information Science & Engineering
Ge Yu: Northeastern University, School of Information Science & Engineering

A chapter in Current Trends in High Performance Computing and Its Applications, 2005, pp 533-537 from Springer

Abstract: Abstract Considering the self-restriction of computer system, the usability of data warehouse, the executing efficiency of on-line analytical processing and data mining and the user’s special demands in future, it is necessary to create a historical available data backup in data warehouse in which there is a mass of data has been saved. This is the first of the companion papers in which introduces the necessity and organizing strategies for constructing historical data backups after analyzing the usual and formal approaches of data backup in data warehouse. The process and important techniques of creating historical data backup are expatiated in detail, then the data backup strategies based on rough time set are advanced.

Keywords: data warehouse; historical data; on-line analytical processing; data mining; backup strategies; rough time set (search for similar items in EconPapers)
Date: 2005
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-540-27912-9_73

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DOI: 10.1007/3-540-27912-1_73

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