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文章基本信息

  • 标题:EXTRACTING KNOWLEDGE FROM DATA: FROM BUSINESS INTELLIGENCE TO BIG DATA ANALYTICS
  • 本地全文:下载
  • 作者:Giuseppe Pirlo ; Donato Impedovo ; Lorenzo Scianatico
  • 期刊名称:European Journal of Business and Social Sciences
  • 印刷版ISSN:2235-767X
  • 出版年度:2014
  • 卷号:3
  • 期号:05
  • 页码:59-66
  • 出版社:European Society of Business and Social Sciences
  • 摘要:At current time, a revolution has started. A revolution called Big Data. This revolution is not limited to volume of data: this revolution requires us to change everything about technology those we daily use. It is necessary to change the architecture of modern data centres, the programming technologies available, and the way we see (and use) sensors and other instruments, and finally, requires changing the application of Computer Science and Engineering to these data. The aim of this work is to how this change is big and how important it is. Moreover, perspectives, challenges and future work directions will be examined.
  • 关键词:knowledge; analytics; big data; business intelligence
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