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3 articles found

Normalization is a Trap: Why ClickHouse Wants Your Data Wide and Flat
clickhouse
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Normalization is a Trap: Why ClickHouse Wants Your Data Wide and Flat

Why OLAP architectures demand denormalized wide tables, using ClickHouse as a case study to break down execution engine differences and architectural trade-offs.

#clickhouse#columnar database#data architecture...
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The Business Logic Holy War: Why Your ‘Single Source of Truth’ Is Already Compromised
business logic

The Business Logic Holy War: Why Your ‘Single Source of Truth’ Is Already Compromised

The debate over where business logic belongs in modern data architectures reveals an uncomfortable truth: the ideal of centralizing everything in the transformation layer collides with messy reality. Here’s what actually works.

#business logic#data architecture#Data Engineering...
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When Dimensional Modeling Becomes Technical Debt: Challenging Kimball’s Orthodoxy in the Modern Data Stack
data architecture

When Dimensional Modeling Becomes Technical Debt: Challenging Kimball’s Orthodoxy in the Modern Data Stack

The rise of cloud analytics and modern BI tools is forcing data engineers to question when strict dimensional modeling becomes cargo cult engineering rather than best practice.

#data architecture#Data Engineering#dimensional modeling...
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