A large portion of any data modeling effort involves very common types of constructs throughout the model. For example, many models involve the application of various roles, statuses, categorizations, hierarchies, instance to type entities, and rules. Having a common way to model these constructs can save time and increase that quality of a data model.
This seminar will help participants understand alternatives, pros and cons of various approaches, and pitfalls, enabling wise data modeling and design decisions. By understanding the various alternatives and what has worked well for other organizations, modelers make informed choices and use appropriate “patterns” to consistently model these fundamental data model constructs.
This dramatically different seminar teaches data modeling by example. We will mainly teach by allowing you to see real life examples of “best practice” models and patterns reinforced by class exercises. You will then have an opportunity to apply these fundamental patterns to your organization’s data requirements.
Participants of this session will gain the following:- Effective data model templates for modeling some of the most critical data model constructs in most data models.
- Alternative ways to model roles, statuses, rules, classifications, hierarchies and rules
- Pros and cons behind modeling various alternatives and suggestions for selecting the approach for your organization.
- Pitfalls in avoiding ineffective ways to model these critical constructs
- Experience in applying these constructs to your organization through hands on exercises