A Check List for Doing Data Model Design Reviews (Better Data Modeling Book 1)

Tired of crappy data models and whiney data modelers? Need to deliver a high quality design in a short period of time? Need a better way to enforce standards? As part of trying to be more “agile” in my approach to developing databases, I have adopted concept from the agile world: peer reviews. Before any data model moves from analysis (logical model) into development (physical model), the development team needs to gather to review what the modeler has done. If the model passes the review (almost never on the first round), the physical model is constructed. The physical model is then subjected to a rigorous review as well (including metadata). Only then can DDL be produced and deployed. This guide book will discuss the actual modeling and design process I follow and give you a check list of questions to ask in any model review session. This is a “take no prisoners” approach that has left many a would-be data modeler in a withering heap, but in the end you will have solid models and designs that deliver value.

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