THE INTEGRATION OF BIG DATA TECHNOLOGIES IN COMPUTER SCIENCE EDUCATION: CHALLENGES AND OPPORTUNITIES.

Abstract

The rapid proliferation of big data technologies has fundamentally transformed how organisations process, analyse, and derive insights from massive datasets. This transformation has created unprecedented demand for computer science graduates proficient in big data technologies, frameworks, and methodologies. This paper examines the integration of big data technologies into computer science education, exploring both the challenges institutions face and the opportunities this integration presents. Through comprehensive analysis of current educational practices, infrastructure requirements, and pedagogical approaches, this research identifies key barriers including resource constraints, faculty expertise gaps, and curriculum design complexities. It highlights significant opportunities such as enhanced student employability, interdisciplinary collaboration potential, and alignment with industry demands. The findings suggest that successful integration requires strategic planning, investment in infrastructure and faculty development, and adaptive curriculum frameworks that balance theoretical foundations with practical applications.