PDWS

Project in Data Warehousing Systems

Objectives

This course provides a space for discussion and training in the field of Data Warehousing Systems. This course was specially designed to present, discuss and practice the most relevant aspects in the development of Data Warehousing Systems, providing its students a privileged space for the acquisition of knowledge and expertise in matters such as planning, design, implementation, exploration, monitoring, testing, optimization and maintenance of Data Warehousing Systems.

Program

• Data Warehousing Systems Engineering.
• Methodologies for Developing Data Warehousing Systems.
• Design, Implementation, Validation and Testing of Data Warehousing Systems.
• Software for Modeling and Developing Data Warehousing Systems.

Bibliography

• Corr, L., Stagnitto, J., Agile Data Warehouse Design: Collaborative Dimensional Modeling, from Whiteboard to Star Schema, 5th Edition, DecisionOne Press, November 24, 2011. ISBN-10 ‏ : ‎ 0956817203, ISBN-13 ‏ : ‎ 978-0956817204.
• Golfarelli, M., Rizzi, S., Data Warehouse Design: Modern Principles and Methodologies, McGraw-Hill Osborne Media; 1st Edition, May 26, 2009.
• Kimball, R., Margy Ross, M., The Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling, 3rd Edition, Wiley, 3rd edition, July 1, 2013. ISBN-10 ‏ : ‎ 1118530802, ISBN-13 ‏ : ‎ 978-1118530801.
• Kimball, R., Reeves, L., Ross, M., Thornthwait, W., The Data Warehouse Lifecycle Toolkit - Pratical Techiniques for Building Data Warehouse and Business Intelligence Systems, John Wiley & Sons, 2ª Edição, 2008. ISBN-10: 0470149779. ISBN-13: 978-0470149775.