Module 7: Data Modeling II

CMPS 160: Databases


By now you should have a pretty good idea what a database is and how it works. However, we have not really discussed yet how one would turn a problem into a database solution. That is the topic of this module. A data model is a representation of reality that captures the essential elements of a problem and models relationships between entities. Therefore, a data model is also known as an Entity-Relationship (E-R) data model. There are different types of relationships between entities that can be modeled, including one-to-one, one-to-many, and many-to-many relationships. We also consider identifying and non-identifying relationships.

Module Objectives

  • Learn the basic stages of database development
  • Understand the purpose and role of a data model
  • Know the principal components of the E-R data model
  • Understand how to interpret traditional E-R diagrams
  • Understand how to interpret the Information Engineering (IE) model’s Crow’s Foot E-R diagrams
  • Learn to construct E-R diagrams
  • Know how to represent 1:1, 1:N, N:M, and binary relationships with the E-R model
  • Understand two types of weak entities and know how to use them
  • Understand nonidentifying and identifying relationships and know how to use them
  • Know how to represent subtype entities with the E-R model
  • Learn how to create an E-R diagram from source documents

Learning Resources

  • Module 7 Readings: Chapter 4
  • Module 7 Slides: Chapter 4

Learning Activities

  • Module 7 Assignment: Chapter 4 Highline University Mentor Program Case Questions
  • Module 7 Project: Progress Report

Strong and Weak Entities

Here is an overview of the way the book deals with strong and weak entities:

Further Study

It is highly recommended to work through the exercises at the end of the chapter, specifically:

  • Washington State Patrol Case Questions
  • 4.29 – 4.33

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