| Learning Objectives (See related pages)
You will know data modeling and data-analysis as systems analysis tools and
techniques when you can:
Define systems modeling and differentiate between logical and physical system
models. |
| | | Define data modeling and explain its benefits. |
| | | Recognize and understand the basic concepts and constructs of a data model. |
| | | Read and interpret an entity relationship data model. |
| | | Explain when data models are constructed during a project and where the models
are stored. |
| | | Discover entities and relationships. |
| | | Construct an entity relationship context diagram. |
| | | Discover or invent keys for entities and construct a key-based diagram. |
| | | Construct a fully attributed entity relationship diagram and describe all data
structures and attributes to the repository or encyclopedia. |
| | | Normalize a logical data model to remove impurities that can make a database
unstable, inflexible, and nonscalable. |
| | | Describe a useful tool for mapping data requirements to business operating
locations. |
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