DATA MODELING AND ANALYSIS

1. Define data modeling and explain its benefits.
2. Recognize and understand the basic concepts and constructs of a data model.
3. Read and interpret an entity relationship data model.
4. Explain when data models are constructed during a project and where the models are stored.
5. Discover entities and relationships.
6. Construct an entity-relationship context diagram.
7. Discover or invent keys for entities and construct a key-based diagram.
8. Construct a fully attributed entity relationship diagram and describe all data structures and attributes to the repository or encyclopedia.
9. Normalize a logical data model to remove impurities that can make a database unstable, inflexible, and nonscalable.
10. Describe a useful tool for mapping data requirements to business operating locations.

Download PDF: 8_Data Modelling and Analysis (size 3155KB)