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  • 标题:Efficient Methodology for Emerging and Trending of Big Data Based Applications
  • 本地全文:下载
  • 作者:R.Karthikeyan ; T. Geetha ; P. Lavanya
  • 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:2019
  • 卷号:7
  • 期号:2
  • 页码:1246-1249
  • DOI:10.15680/IJIRCCE.2019. 0702119
  • 出版社:S&S Publications
  • 摘要:Big data is a main buzz phrase and new curve for IT today. Big data is driven data with high velocity, volume, variety, veracity and value. It comes from different sources like mobile devices, internet, social media, sensors, geospatial devices and other machine-generated data. Traditional data processing and analysis of structured data using RDBMS and data warehousing no longer satisfy the challenges of Big Data. Therefore, big data analysis is a current area of research and development. The basic objective of this paper is to explore the potential impact of big data challenges, open research issues, and various tools associated with it. As a result, this article provides a platform to explore big data at numerous stages. Today’s we have an overwhelming growth of data in terms of volume, velocity and variety on web. Moreover this, from a security and privacy views, both area have an unpredictable growth. So Big Data challenge is becoming one of the most exciting opportunities for researchers in upcoming years.
  • 关键词:Big data; Hadoop; HDFS; Map Reduce; NoSQL;
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