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High Performance Historical Available Data Backup Strategy in Data Warehouse

In: Current Trends in High Performance Computing and Its Applications

Author

Listed:
  • Xiufeng Xia

    (Northeastern University, School of Information Science & Engineering
    Shenyang Institute of Aeronautical Engineering, School of Computer 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)

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.

Suggested Citation

  • Xiufeng Xia & Lingyu Xu & Qing Li & Weidong Sun & Suixiang Shi & Ge Yu, 2005. "High Performance Historical Available Data Backup Strategy in Data Warehouse," Springer Books, in: Wu Zhang & Weiqin Tong & Zhangxin Chen & Roland Glowinski (ed.), Current Trends in High Performance Computing and Its Applications, pages 533-537, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-27912-9_73
    DOI: 10.1007/3-540-27912-1_73
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