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In era of ever-expanding data and knowledge, we lack a centralized systemthat maps all the faculties to their research works. This problem has not beenaddressed in the past and it becomes challenging for students to connect withthe right faculty of their domain. Since we have so many colleges and facultiesthis lies in the category of big data problem. In this paper, we present amodel which works on the distributed computing environment to tackle big data.The proposed model uses apache spark as an execution engine and hive asdatabase. The results are visualized with the help of Tableau that is connectedto Apache Hive to achieve distributed computing.

FAIR: A Hadoop-based Hybrid Model for Faculty Information Retrieval System