Core Standards and Applications of Big Data Analytics

Abstract

Big Data Analytics has emerged as a critical tool for extracting value from large, complex datasets in the modern digital era. This study delves into the fundamental standards that underpin big data analytics, including data collection, processing, storage, and analysis techniques. It highlights the diverse applications of big data analytics across industries such as healthcare, finance, retail, and logistics, demonstrating its capacity to drive informed decision-making, optimize processes, and foster innovation. The paper also addresses the challenges associated with data privacy, security, and scalability, emphasizing the need for robust frameworks to fully realize the potential of big data analytics in transforming businesses and societies.