AI IN DATA ENGINEERING: Building Scalable Solutions From Storage To Insights  (Paperback, Mrs. Hemalatha Nagharajan,Dr. J. P. Ananth)

The rapid advancement of Artificial Intelligence (AI) has transformed the way organizations collect, process, and leverage data for decision-making. In today’s digital economy, data is no longer just a byproduct of business operations but a strategic asset that fuels innovation and growth. With the ever-increasing scale, variety, and velocity of data, the discipline of Data Engineering has emerged as a cornerstone for building intelligent, scalable, and efficient solutions. This book, AI in Data Engineering: Building Scalable Solutions From Storage to Insights, has been conceptualized to bridge the gap between foundational data engineering practices and the integration of AI-driven approaches. It brings together the principles, methodologies, and real-world practices that enable enterprises to transform raw data into actionable insights. The first edition has been designed to cater to a diverse audience, including students, academicians, industry professionals, and researchers. Readers will gain both theoretical understanding and practical perspectives on topics such as data pipelines, distributed storage, data governance, machine learning integration, and emerging technologies shaping the data ecosystem.