首页    期刊浏览 2024年11月08日 星期五
登录注册

文章基本信息

  • 标题:AN EXHAUSTIVE STUDY: BIG DATA
  • 本地全文:下载
  • 作者:Manisha Valera ; Ankit Virparia ; Om Mehta
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2016
  • 卷号:5
  • 期号:6
  • 页码:1938-1942
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Big Data is a novel term used to identify the datasets that due to their outsize and complexity. Big Data is Heterogeneous, Large Volume, and Distributed Data. Big Data are now swiftly escalating in all science and engineering domains, including physical, biological and biomedical sciences. Data mining is the capability of extracting useful information from these large datasets, that due to its volume, variability, and velocity, it was not possible before to do it. The Big Data challenge is becoming one of the most exciting opportunities for the next years. This study paper includes the information about what is big data, Data mining with big data, Challenging issues and its related work. Big Data is thus very significant to increase productivity growth in the entire world since it is affecting public sectors. Big data refers to capacious data which ranges in Exabyte's (1018) and beyond. The archetype of processing huge datasets has been shifted from centralized architecture to distributed architecture. In this paper, we provide a widespread survey of Big data research, while prominence the specific concerns in Big data world. In this paper we have also discussed the challenges of Big data with various advantages and a disadvantage of these technologies. We represent the key issues in this area, and discuss the various methods to tackle these issues.
  • 关键词:Big Data; Hadoop; Map Reduce; Data Mining
国家哲学社会科学文献中心版权所有