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The Practical Guide to Semantic Layers

Everything a data team needs to know about designing, building, and operating a semantic layer that scales.

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Web + PDF· 60 pages 45 min

Built for: Data engineers and analytics engineers

Outcomes

What you'll walk away with

  • Semantic modeling patterns
  • Tooling comparison (dbt, Cube, LookML, MetricFlow)
  • Governance and change-management playbook
Inside

Table of contents

  1. 1Why semantic layers matter
  2. 2Modeling metrics and dimensions
  3. 3Tooling landscape
  4. 4Governance patterns
  5. 5Migration strategies
  6. 6Case studies
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