Systematic approach on big data analytics in education systems
Rotti Srinivasamurthy Swathi, N. Pavan Kumar, L. KiranKranth, L. Sethu Madhav, Ravi Seshadri · 2017
The capacity to analyze, examine and oversee unlimited volume of information of diverse types, while quickly developing the data engineering has for quite some time been an objective at a numerous advanced education foundations. As the traditional tools are being failed to process such a data and to predict the decisions need to use modern technology. Many institutions are concentrating on how to analyze data and student performance. Examination assume a basic part in playing out a careful investigation of understudy and learning information to settle on an educated choice on future course offerings. Big Data frameworks position IT to see the association more comprehensively than whatever other zones for enhanced basic leadership. Predictive analytics/determining models in a Big Data condition empower establishments to settle on right venture choices for higher institutional effect. In this paper, we are proposing a new framework for education system using map reduce algorithm and the huge volume of data will be stored in HDFS.