Comprehensive Literature Review: Data Warehouse for Universities

This literature review explores the concept of data warehouses, specifically focusing on their application within a university environment. It begins by defining data warehouses and outlining their key characteristics, such as being subject-oriented, integrated, time-variant, and non-volatile. The review then delves into the data warehouse lifecycle, detailing the various phases from requirements gathering and analysis to design, development, testing, deployment, and maintenance. Different architectural approaches, including the top-down (Bill Inmon) and bottom-up (Ralph Kimball) methodologies, are discussed, along with their respective advantages and disadvantages. Furthermore, the review examines the general implementation of data warehouses, including logical and physical design considerations, and application server implementation within a university context. The paper provides a comprehensive overview of data warehousing principles and practices, offering valuable insights into how universities can leverage data warehouses for effective data management and analysis.