Tulasi.B¹ and Suchithra.R^2
1Department of Computer Science, Christ University, Bangalore, India ²Department of Computer Science , Jain University, Bangalore, India

With the advent of internet and communication technology the penetration of e-learning has increased. The digital data being created by the higher educational institutions is also on ascent. The need for using “Big Data” platforms to handle, analyse these large amount of data is prime. Many educational institutions are using analytics to improve their process. Big Data analytics when applied onto teaching learning process might help in improvising as well as developing new paradigms. Usage of Big Data supported databases and parallel programming models like MapReduce may facilitate the analysis of the exploding educational data. This paper focuses on the possible application of Big Data Techniques on educational data.

Big Data, e-learning, Higher Education, MapReduce, MongoDB, Association rule mining