CIT 499 Data Warehousing Prerequisites CIT 253 or CIT 213 CIT 288 or CIT 214 Offered N/A Software None Credit By Exam No Coordinator Professor Fernandez ABET Outcomes Topics What you will learn Description The purpose of this course is to examine the theories, techniques, and terminology of data warehousing. Students are introduced to data warehousing concepts and options, developmental approaches, best practices, meta data, architectual options, risks, mistakes to avoid, and conclude with a look at future trends in data warehousing. Objectives Explain data warehousing concepts, terminology, and processes Identify the key players in the data warehousing industry Explain the data warehouse life cycle methodology Identify the components of a data warehouse architecture Describe the deliverables that may be produced throughout the data warehouse life cycle Define meta data and discuss its importance Identify data warehousing tools(e,g. data modeling, query tools, etc) in the market place ABET Outcomes (What is ABET?) . Principles of Undergraduate Learning (What are Principles of Undergraduate Learning?) Topics What is a Data Warehouse? Data Warehouse Life Cycle Methodology Components of a Data Warehouse Architecture Data Warehouse Tools and Selection Meta Data Miscellaneous Issues: benefits, risks, successes, ROI, and data quality Emerging Trends and Future of the Data Warehouse All contents copyright 2003, CIT Department, IUPUI Last Updated: