文章基本信息

标题：Enhanced Big Data Quality Frame Work
本地全文：下载
作者：G.Mallikajruna Reddy ; Ganesh Deshmukh ; R.Arun kumar 等
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2016
卷号：7
期号：3
页码：1408-1409
出版社：TechScience Publications
摘要：At the Present time the word Big Datacontent is giving boost everywhere. Big Data refers tohuge amount of data such as extreme size like zetabytes. It is prone to quality problems related toaccuracy, precision, completeness, consistency andtimeliness. Accuracy in big data may lead to morereliable decision making and better decisions, which canresult in greater Economical efficiency, cost reduction,getting down risk and more profits. . Data qualityproblem is directly proportional to volume of data. Forexample if data volume increases 10 times then qualityissues also measure 10 times more. Big Data softwaredevelopers must be most sensitive to data quality issues.This paper aims to increase the data quality by takingmore number characteristics of big data.