A Shared E-Learning Resources Database Using Big Data and Cloud Environment

Abstract

The world has entered into the era of Big Data unwittingly. Although no universally accepted definition can be given as of now, the term “Big Data” is commonly referred to as extensive datasets, primarily in the characteristics of 5 Vs: value, variability, variety, velocity, and volume, which require scalable architectures for efficient storage, manipulation, and analysis [1]. Higher education institutions are encouraged to construct a shared E-learning resources database based on Big Data and Cloud because of its convenience and cost-savings to E-learning teachers in terms of data crawling, storage, analysis, as well as data processing, optimization and sharing [2]. This article introduces the conceptual underlying frameworks for developing a shared E-learning resources database based on Big Data and Cloud as well as its prospective benefits to teachers, students, and university-corporation connections. Its prospective application holds a vision to assist associated teachers for improved efficiency and effectiveness of data acquisition, teaching material preparation and processing, user (students) satisfaction and prominent university-corporation connections.