Virtual Map-Based Approach to Optimize Storage and Perform Analytical Operation on Educational Big Data

摘要

The mechanism of knowledge delivery system in a cloud-based e-learning system can be significantly improved if an advanced analytical operation can be performed over it. Although, there are various research attempts that have used big data approach on educational data by introducing various sophisticated techniques; however, the problems associated with the elementary structure of data is less reported. Therefore, this paper presents a novel concept of virtual map generation that is meant for repositing the structured data after it is transformed from unstructured educational data. The proposed system offers the advantage of independence from any existing software frameworks to introduce a simplified approach that can not only perform an effective transformation but can also perform an analytical operation using a semantic-based approach. The system also offers the benefit of faster response time with better consistency over educational big data.