Authors: Dr. R.K. Kavitha, Dr. M.C.S. Geetha, Dr. M. Sindhana Devi and Dr. J. Soonu Aravindan

ISBN: 978-81-988877-0-2

DOI: https://doi.org/10.59646/sds/380

Date of Publication: June 25, 2025

About the Book:

The book “Smart Data Systems and Analytics” offers a comprehensive exploration of intelligent data management, decision support, and advanced analytics in the era of artificial intelligence and digital transformation. It begins by introducing Decision Support Systems (DSS), their components, types, and roles in data-driven decision-making, followed by a detailed discussion on data warehousing fundamentals, DBMS schemas, data marts, and architectural frameworks such as client-server, parallel, and distributed systems. Moving forward, the book delves into AI-powered data warehousing, highlighting the significance of metadata, cloud platforms, edge computing, federated learning, and self-healing data systems. Real-time data integration tools like Apache Kafka and Spark, and the use of blockchain for secure metadata management are also discussed. In the realm of Business Intelligence (BI), the book covers key BI tools, OLAP, AI-driven dashboards, natural language querying, and predictive modeling using deep learning and reinforcement learning. It further examines knowledge discovery and data mining pipelines, techniques like classification, clustering, regression, neural networks, and responsible AI practices. The final unit explores web intelligence, multimedia data mining, generative AI for synthetic data, sentiment analysis, and future trends such as AR/VR data visualization and quantum computing. Overall, the book serves as a vital resource for understanding the design, implementation, and application of smart data systems and analytics across modern enterprises.