This course provides a comprehensive introduction to the principles and practices of data warehousing. Students will explore the design, implementation, and management of data warehouses, focusing on the architecture and infrastructure needed to support effective data storage and retrieval. Topics include data modeling, ETL (Extract, Transform, Load) processes, data warehouse architecture, and OLAP (Online Analytical Processing). The course also covers best practices for maintaining data quality and ensuring data security. Through hands-on exercises and real-world case studies, students will gain practical experience in building and managing data warehouses, preparing them for roles in data engineering, business intelligence, and analytics. By the end of the course, students will be equipped to design scalable data warehouse solutions that support informed decision-making in organizations.