methodology

Waterfall Data Models

Waterfall Data Models are a structured approach to data modeling that follows a linear, sequential process, typically used in traditional software development methodologies like the Waterfall model. They involve defining data requirements, designing logical and physical data models, implementing the database, and then moving to testing and maintenance phases without iteration. This method emphasizes thorough upfront planning and documentation, with each phase completed before proceeding to the next.

Also known as: Sequential Data Models, Traditional Data Modeling, Linear Data Models, Waterfall Database Design, Phase-Gate Data Models
🧊Why learn Waterfall Data Models?

Developers should learn Waterfall Data Models when working on projects with well-defined, stable requirements and low uncertainty, such as in regulated industries like finance or healthcare where compliance and documentation are critical. It is useful for large-scale, long-term projects where changes are costly, as it provides a clear roadmap and reduces risks through detailed planning. However, it is less suitable for agile or fast-paced environments where requirements evolve frequently.

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