A foundational reading that explains what data modeling is, why it is essential before database construction begins, and how it fits into the broader software engineering process, used by learners to build conceptual grounding before diving into specific modeling techniques.
Topics
This module covers 6 topics. Open a topic to see its subtopics.
Module Content
14 items.
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A reading that defines entities as real-world objects a system needs to track and explains how attributes describe them, helping learners understand the first step in identifying what information a database should store.
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A reading that covers how entities relate to one another in a data model, including relationship types and why capturing those connections is critical for a functional database, used by learners to understand the associative structure between data objects.
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A reading that introduces Peter Chen's Entity-Relationship model as a conceptual framework for database design, explaining its core components and how it allows designers to represent data requirements independently of physical implementation details.
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A reading that teaches learners the practical steps and conventions for constructing ER diagrams, including how to represent entities, attributes, and relationships visually so the diagram can later be translated into a database schema.
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A reading that walks learners through the process of analyzing a real-world business scenario and systematically applying ER modeling techniques to produce a structured database design from a problem description.
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A reading that walks learners through the process of analyzing a real-world business scenario and systematically applying ER modeling techniques to produce a structured database design from a problem description.
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A reading that defines data modeling as the practice of describing an organization's entities, facts, and connections before tables are built, using the architectural-drawing analogy to orient learners to the purpose and payoff of modeling early in the design process.
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A reading on relationships between entity types, covering how associations like student-enrolls-in-course or order-contains-product are identified and described precisely enough to carry into a database design, which learners study to recognize and document connections in their own models.
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A reading introducing the Entity-Relationship model as a conceptual design tool, presenting its core vocabulary — entities, attributes, relationships, cardinality, and participation — and its diagrammatic notation for specifying data requirements independent of tables or storage.
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A practical reading on constructing ER diagrams that explains how to depict entities, attributes, and relationships visually so stakeholders can agree on data structure before implementation, serving as a how-to guide for learners drawing their first diagrams.
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A capstone reading that applies ER vocabulary to realistic scenarios such as a library, clinic, or online store, walking learners through reading an informal business description and deciding what becomes an entity, attribute, or relationship.
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A combined module document compiling all five topic readings — data modeling fundamentals, relationships, the ER model, diagram construction, and applied modeling — into a single continuous text for review or offline study.
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A browser-based drag-and-drop design board where learners play a consultant turning a director's interview, four draft entities, and a set of functional dependencies into a valid database design, using undo/redo and reset controls before submitting their finished ER model for Assignment 3.