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The Art and Science of Conceptual Data Modeling: Building Pipelines That Last

Introduction: Why Conceptual Data Modeling Makes or Breaks Your Pipeline Ever found yourself staring at a faulty data pipeline, wondering where it all went wrong? Join the club. I’ve been there too many times to count. The hard truth? Most pipeline failures aren’t technical issues—they’re conceptual ones. We get so caught up in the how (tools, languages, frameworks) that we completely miss the what and why of our data needs.

  • ConceptualDataModeling
  • DataEngineering
  • StakeholderManagement
  • EmpatheticDesign
  • DataPipelines
  • RequirementGathering
Saturday, May 17, 2025 Read
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Data Modeling Showdown: Kimball vs One Big Table vs Relational

Introduction When architecting a data warehouse, one of the most crucial decisions is choosing the right data modeling approach. Like selecting the right tool for a job, each modeling methodology has its strengths and ideal use cases. Today, we’ll explore three popular approaches: Kimball’s dimensional modeling (star schema), the one big table approach, and traditional relational modeling. The Dataset: Understanding Our Example To illustrate these approaches, let’s consider a retail sales system with these core components:

  • Data Warehouse
  • SQL
  • Star Schema
  • Database Design
  • Performance Optimization
Saturday, January 25, 2025 Read