Course Code
Course Title
Data Warehousing and Analytics
Description
This course addresses data warehousing and data analytics concepts. Areas to be covered include: contemporary architectures for designing and implementing data warehouses, creating a scalable infrastructure for big data, creating information architecture for organizations, data collection and method selection for big data analytics, designing and implementing architectures for organizational content management systems.
Recommended Reading
- Flory, André & Soupirot, Pierre & Tchounikine, Anne. (2001). A Design and implementation of a data warehouse for research administration universities. 259-267.
- Kimball, R & Reeves, L & Ross, M & Thornthwaite, W. (2008). The Data Warehouse Lifecycle Toolkit.
- Leonard, Edward M. (2011). "Design and Implementation of an Enterprise Data Warehouse" Master's Theses (2009). Paper 119.
- Rogers, Denise. “Data Warehousing Architecture - Designing the Data Staging Area.” Database Journal. 22 June 2010. Web. 20 Oct 2011.
- Krishnan, K. (2013). Data Warehousing in the Age of Big Data. 10.1016/C2012-0-02737-8.
- Alan S. (2014). “Modern Enterprise Business Intelligence and Data Management: A Roadmap for IT Directors, Managers, and Architects”
- Steve W. (2016). “Business Intelligence Strategy and Big Data Analytics: A General Management Perspective”