Data Insight Unveiled
K. Sudha, C. Balakrishnan, T. P. Anish, T. M. Nithya, B. Yamini, R. Sıva Subramanıan, M. Nalini
Abstract
Data engineering solutions have become important in our quickly evolving technological world for handling and analysing the massive volumes of data generated every day. The chapter examines data engineering systems exponential expansion and data analysis's growing importance across businesses. It highlights data-driven healthcare's transformational influence on patient care and treatment advances, while noting privacy and ethical issues. The research analyses data categorisation techniques, focusing on machine learning and deep learning for healthcare and agricultural decision support systems. The story expects AI and blockchain integration in emerging decision support systems. Data analysis in clinical trials, precision healthcare decision-making, and agricultural applications are also covered. The conclusion is that data analytics improves weather prediction accuracy and gives useful insights for scholars and practitioners navigating the complex world of data analysis.