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文章基本信息

  • 标题:utions for improving data extraction from virtual data warehouses
  • 本地全文:下载
  • 作者:Adela BARA
  • 期刊名称:Database Systems Journal
  • 电子版ISSN:2069-3230
  • 出版年度:2010
  • 卷号:I
  • 期号:1
  • 页码:27-36
  • 出版社:Bucharest Academy of Economic Studies Publishing House
  • 摘要:The data warehousing project’s team is always confronted with low performance in data extraction. In a Business Intelligence environment this problem can be critical because the data displayed are no longer available for taking decisions, so the project can be compromised. In this case there are several techniques that can be applied to reduce queries’ execution time and to improve the performance of the BI analyses and reports. Some of the techniques that can be applied to reduce the cost of execution for improving query performance in BI systems will be presented in this paper.
  • 关键词:Virtual data warehouse; Data extraction; SQL tuning; Query performance.
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