What is iterative development in agile data modeling?
Iterative development in agile data modeling is a process where data models are continuously refined through repeated cycles.
How does it differ from traditional data modeling?
Unlike traditional methods, which often require a complete model upfront, iterative development allows for gradual improvements based on feedback.
Can you give me an example of how this works in practice?
Sure! In a project, you might start with a basic data model, gather user feedback, and then adjust the model in subsequent iterations.
What are the benefits of using this approach?
Benefits include increased flexibility, better alignment with user needs, and reduced risk of major errors in the final model.
Are there any challenges to consider?
Yes, challenges can include managing scope creep and ensuring consistent communication among team members throughout the iterations.
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