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  • 标题:A Survey and Cost Classification of Big Data Analytics and Decision Tools
  • 本地全文:下载
  • 作者:Dr. Akazue Maureen Ifeanyi ; Ajenaghughrure Ighoyota Ben
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2015
  • 卷号:3
  • 期号:9
  • DOI:10.15680/IJIRCCE.2015. 0309077
  • 出版社:S&S Publications
  • 摘要:Big data is changing the way business decisions are made and it’s still early in the game. However, bigdata demands new problem-solving approaches because it exceeds the capacity and capabilities of conventionalstorage, reporting and analytics systems. Hence, prompting the need for sophisticated data analytics tools for properprocessing and mining to acquire adequate information from these voluminous data, which traditional data analyticstools cannot handle. Data analytics tools development effort has been high, producing tools from open source tolicense. This research paper surveys some top big data analytics and decision tools available, classifying them intolicense, open source, and versions combining both, highlighting their features briefly, to enhance end user choice oftools based on cost and capabilities, as well as developers knowledge of development efforts in various classes of toolsand their capabilities. The survey covered forty-four tools and showed that twenty six were licensed, eight were opensource, and ten were versioned tools having both license and open source
  • 关键词:Open source; licensed; Big Data; data analytics tools; capabilities of data analytics tools
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