期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2017
卷号：47
期号：2
页码：91-94
DOI：10.14445/22312803/IJCTT-V47P112
出版社：Seventh Sense Research Group
摘要：Big data often refers simply to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. Big data analytics is the process of examining large and varied data sets i.e., big data to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make moreinformed business decisions. The utilization of Big Data Analytics after integrating it with digital capabilities to secure business growth and its visualization to make it comprehensible to the technically apprenticed business analyzers. Analyzing big data is a very challenging problem today, for such applications; the Map Reduce framework has recently attracted a lot of attention. Google’s Map Reduce or its opensource equivalent Hadoop is a powerful tool for building such applications. In this paper, we explained Map Reduce function with sample data.
