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TDWI’s BI This Week newsletter ran this short article on June 22, 2011, and I’ve included it below.
It provides a glimpse at the important technical practices that enable you to safely evolve your data models in ways that improve the design quality rather than degrading it.
Combined with good data modeling discipline, this style produces the right data model for its intended purpose.
How to Safely Evolve Data Models These concerns about evolutionary modeling resulting unnecessary rework, unintended side effects, and design degradation are legitimate.
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The best way to have fewer defects in your DW/BI system is to have a smaller/simpler one.
The problem with comprehensive up-front modeling is that you must design for all contingent requirements, both known and speculated.
Scott Ambler’s book Why is agile data modeling a good idea?