Quality issues with big data analytics
Sangeeta Malık, Kapil Sharma · International Conference on Computing for Sustainable Global Development · 2016
The promise of data-driven decision-making is now being recognized broadly, and there is growing enthusiasm for the notion of “Big Data.” In this paper techniques related with the big data pipelining or processing are discussed. There are number of issues related with the analytical results of the big data and the big data processing software. The major issues are included in this paper and will be helpful for the new beginners in this area of big data analytics.