Course Code
Course Title
Enterprise Data Management
Description
This course addresses key data and information concepts. Areas to be covered include: Data and information management lifecycle, Conceptual modelling techniques for capturing and structuring data and information requirements, Logical level representation of data based on a conceptual model, implementing a database solution for multiple applications, and use of contemporary data manipulation, retrieval and management technologies.
Other areas include use of appropriate techniques/technologies for securing data, protecting user privacy and organizational intellectual property.
Recommended Reading
- Carlo Batini, Stefano Ceri, Shamkant B. Navathe, 1992. Conceptual Database Design: An Entity-Relationship Approach
- Zinke-Wehlmann, Christian & Anke, Jürgen & Meyer, Kyrill & Schmidt, Johannes. (2018). Modeling, Analysis and Control of Personal Data to Ensure Data Privacy – A Use Case Driven Approach. 87-96. 10.1007/978-3-319-60585-2_10.
- E. Short, James. (2019). Information Lifecycle Management Concepts, Practices, and Value.
- Gunjal, Bhojaraju. (2003). Database Management: Concepts and Design.
- A. Faye Borthick, Paul L. Bowen, and Gregory J. Gerard (2008) Modeling a Business Process and Querying the Resulting Database: Analyzing RFID Data to Develop Business Intelligence. Journal of Information Systems: Fall 2008, Vol. 22, No. 2, pp. 331-350.
- Alan S. (2014). “Modern Enterprise Business Intelligence and Data Management: A Roadmap for IT Directors, Managers, and Architects