This white paper challenges the long-standing reliance on star schemas as the foundation of enterprise analytics. It explains how star schemas require extensive data transformation, aggregation, and maintenance, leading to slow data refreshes and loss of detail. The paper describes how modern analytics demands real-time access to granular data, flexible exploration, and rapid change—requirements star schemas were not designed to support. It introduces alternative architectures that allow analytics directly on normalized source data while maintaining performance. The paper argues that eliminating star schemas improves agility, reduces technical debt, and enables deeper, more accurate analysis.

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