Abstract

The epidemic growth of information has led to the big data era with vast volumes of diverse and complex data. This paper aims to provide a comprehensive overview of the transition from traditional data to big data, highlighting its transformative impact on various aspects of society, businesses, and scientific research. We begin by tracing the evolution of data, starting from structured data stored in traditional databases to the current era characterized by unstructured and semistructured data from a wide range of sources. We delve into the technological advancements and challenges that have enabled the processing and analysis of big data, including distributed computing frameworks, scalable storage solutions, and advanced machine learning algorithms. Overall, this paper provides a comprehensive understanding of the transition from data to big data, elucidating the technological advancements, applications, and implications of large-scale data analytics. By examining the transformative power of big data, we hope to inspire further research and innovation in this rapidly evolving field, ultimately leading to a more data-driven and informed society.