a This book provides comprehensive introduction to the concepts, architecture, and applications of Data Warehousing and Data Mining in a simple and student-friendly manner. It covers important topics such as Data Warehouse architecture, multidimensional data modeling, OLAP and OLTP, metadata, data mining techniques, web mining, temporal data modeling, star and snowflake schema, and modern trends in business intelligence. The book is specially designed for BCA and computer science students to build strong theoretical understanding along with practical examples, diagrams, and real-world applications. It serves as a valuable academic resource for learners, educators, and researchers who wish to understand the fundamentals and advanced concepts of data analysis and decision support systems in today's digital era.