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  • 标题:Database Tuning - Optimize the Performance of a New Adaptive Generic Evaluation System for U-Gov Management
  • 本地全文:下载
  • 作者:Claudia CÂRSTEA
  • 期刊名称:Economy Transdisciplinarity Cognition
  • 印刷版ISSN:2067-5046
  • 电子版ISSN:2068-7389
  • 出版年度:2013
  • 卷号:16
  • 期号:2
  • 页码:49-56
  • 出版社:George Bacovia University from Bacau
  • 摘要:In an era that demands increased accountability and transparency of business practices, much of a company's potential exposure and risk hinges on the integrity and reliability of its information systems. Forward-looking CIO recognizes how the business and the systems that protect and transmit its vital information are inextricably interdependent. Leveraging that interdependency to the competitive advantage of the business is their job. They are responsible for enabling (through IT and operations) an adaptive enterprise, one that can flex to handle change without disrupting the business. This paper aims to present some considerations about the size of external memory support requirements for the database
  • 关键词:Gov management; evaluation system; tuning; memory space
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