Email this article A Survey on Big Data ads its Recent Trends in Different Industrial and Research Sectors
Abstract
The term "big data" said to very huge and multifarious datasets that hard to supervise and examine with conventional data dispensation tools. Big data analysis can be utilized to extract valuable insights, progress administrative, and coerce company growth. Big Data has developed into a key constituent of digital transformation across a numeral of industrialized and research divisions. It is differentiate by its enormous quantity, high velocity, with wide assortment of information types, which allow organizations to find patterns, generate insights, and make well-informed decisions. The scope and impact of Big Data applications have been greatly expanded by recent technical improvements like AI, ML, cloud computing, with edge analytics. Industries like finance, healthcare, manufacturing, retail, and transportation are using these innovations to improve efficiency, improve customer experiences, and develop predictive capabilities. In this study, Big Data plays a major role in domains such as genetics, climate modeling, neurology, and social science. This article covers the newest developments in Big Data technology and their practical ramifications, while also highlighting the future directions and problems in establishing scalable, ethical, and concurrent information-driven solutions. Concurrent processing, moral information use, and closer integration with AI and other technologies are key components of the future of big data.
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