11th International Conference on ICT for Sustainable Development

Authors - Anuj Singh, Ashima Mehta, Suhani Ekbote
Abstract - Big Data is revolutionizing data management, analysis, and decision-making across industries. Defined by volume, velocity, variety, and veracity, it requires advanced tools for efficient processing. Traditional systems struggle with exponential data growth, necessitating parallel architectures. Digital advancements like social media, IoT, and Web 3.0 have fueled data expansion, offering enterprises valuable insights. Companies like Google and Amazon leverage Big Data for optimization and customer satisfaction. Businesses increasingly adopt data-driven strategies to stay competitive, but challenges like storage, security, and system coordination persist. Traditional data warehouses often fail to meet modern scalability demands. Big Data analytics enhances decisionmaking, efficiency, and innovation, driving the fourth industrial revolution. AI-driven analytics, cloud computing, and computational intelligence help manage vast datasets. As industries evolve, Big Data shapes policies, transforms enterprises, and fuels economic growth, ensuring organizations maximize value while adapting to the ever-expanding data landscape.