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Data science has been undergoing a transformative revolution, with the exponential growth in data volume, variety, and velocity pushing the boundaries of what was once considered possible. In this dynamic landscape, the programming language Java has emerged as a powerful and versatile ally, challenging the traditional dominance of Python and R. While these languages have long been the go-to choices for data professionals, the inherent strengths and evolving capabilities of Java are poised to redefine the future of data-driven insights and decision-making.<br><br>
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