Data modelling is arguably the single most important activity in information system design and a basic competency for all information systems professionals.
This 2-day course provides information systems professionals with foundation skills in data modelling.
To reinforce the study material, the course is rich in exercises and case studies, equipping students to develop their own Data Models.
- The course covers:
- Relational modelling
- Entity Modelling
- Subtypes and Supertypes
- Time and History
- Common modelling errors
- Common uses of data modelling
- Reuse, patterns and resources
- Enterprise contexts
- Data warehousing concepts
Who Should attend
Any person who is working in a professional data modelling area or with data modelling professionals in their day to day role.
This course is also offered in other locations:
David Wiebe has over 25 years of business experience in consulting, systems development and integration. He practices a solution architecture approach for designing and delivering information systems that use services and data architectures to implement business functionality. He is experienced in data modeling, business process management, database management and software development. He has worked in projects where strategic enterprise designs were implemented for large-scale application development efforts. He is an expert erwin user. David has created and evolved enterprise data and information models for the Commonwealth Bank of Australia, AMP, ANZ Bank, BT Financial Group, the Australian Tax Office, the Department of the Environment and Energy, the Australian Securities and Investments Commission and Queensland Government.