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Why Dimensional Modeling Isn't Dead—It's Just Getting Started

The Great Data Modeling Debate Nobody Asked For Another meeting where someone confidently declared, “We don’t need data modeling anymore—just dump everything in the data lake and let analysts figure it out.” I’ve heard variations of this statement for years now, in meetings or at conferences. The pitch is always the same: traditional data warehousing is dead, dimensional modeling is a relic from the 90s, and modern big data tools have made structured modeling obsolete. Schema-on-read is the future. Agility over architecture.

  • DimensionalModeling
  • DataWarehouse
  • DataModeling
  • DataQuality
  • Analytics
  • Kimball
  • BigData
Friday, November 7, 2025 Read
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Continuous Integration for Data Teams: Beyond the Buzzwords

The Day Everything Broke (And How CI Could Have Saved Us) Picture this: It’s 9 AM on a Monday, and your Slack is exploding. The executive dashboard is showing impossible numbers. Customer support is fielding complaints about incorrect billing amounts. The marketing team is questioning why their conversion metrics suddenly dropped to zero. You trace it back to a seemingly innocent change you merged Friday afternoon—a simple column rename that seemed harmless enough. But that “harmless” change cascaded through your entire data pipeline, breaking downstream models, dashboards, and automated reports.

  • ContinuousIntegration
  • DataQuality
  • dbt
  • DevOps
  • DataEngineering
  • GitHub
  • Datafold
  • DataValidation
Saturday, June 28, 2025 Read