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  • 标题:Entropy of Data Compression Using Object Oriented Data Warehousing
  • 本地全文:下载
  • 作者:Pushpa Suri ; Meenakshi Sharma
  • 期刊名称:International Journal of Computer Science Issues
  • 印刷版ISSN:1694-0784
  • 电子版ISSN:1694-0814
  • 出版年度:2011
  • 卷号:8
  • 期号:5
  • 出版社:IJCSI Press
  • 摘要:A data warehouse is a repository of subjectively selected and adapted operational data which can successfully answer any ad hoc, statistical, complex or analytical queries. Data warehousing technology is becoming essential for effective business intelligence, business strategy formulation and implementation in a globally competitive environment where in larger and larger amounts of data are required to be processed faster and faster for comprehension of its real meaning and impact [4].Data warehousing has been around in some form or another since the inception of data storage, people were never able to exploit the information that was wastefully sitting on a tape somewhere in a back room. Organizations across the country and around the world are seeking expertise in this exploding field of data organization and manipulation. It is not a surprise, really, that business users want to get a better look at their data. Today, business opportunities measure in days, instead of months or years, and the more information empowering an entrepreneur or other business person, the better the chances of beating a competitor to the punch with a new product or service. In this paper we have discussed the efficiency of the data warehousing packages so that less CPU time and less Memory is consumed.
  • 关键词:Entropy; Data warehousing; object oriented; Data compression
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