This workshop introduces Concept Modelling and then Logical Modelling from a non-technical perspective, thoroughly covering the components of any data model - entities, relationships, attributes, and rules. It includes clear, practical guidelines, as well as many tips, quality checklists, and warnings of common pitfalls. Just as important, it contains far more advice on the process of developing a data model than other courses, including specific methods for getting subject matter experts involved and maintaining their commitment.
Essentials of Data Modelling
Establishing the Initial Conceptual Data Model
Developing the Initial Logical Data Model by Adding Rigor, Structure and Detail
Correctly Handling Attributes
Interesting Structures – Generalisation, Recursion and the Two Together
Modelling Time, History and Time- Dependent Business Rules
Modelling Rules on Relationships and Associations
Preparing and Delivering a Data Model Review Presentation
Bridging the “E-R vs. Dimensional” Divide – the World’s Shortest Course on Dimensional Modelling
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