Alex Merced • 2/19/2026

Data Modeling Best Practices: 7 Mistakes to Avoid

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This article details seven critical data modeling mistakes, such as undefined grain, cryptic naming, and over-normalization for analytics. It explains how these errors lead to inaccurate reports, slow dashboards, and confusion, offering clear fixes like defining grain upfront, using descriptive names, and separating transactional from analytical models.

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#analytics #Data Modeling #Database Design
Data Modeling Best Practices: 7 Mistakes to Avoid

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