AnswerLayer

Building semantic layers

Traditional semantic layers (dbt Semantic Layer, Cube, LookML, AtScale) require:

  • Hundreds of lines of YAML or configuration code
  • Manual mapping of every table, column, and relationship
  • Metric definitions written one by one with exact SQL expressions
  • Constant maintenance as schemas evolve

This means months of upfront work. Every schema migration risks breaking definitions. Every new metric requires a pull request. The semantic layer becomes a bottleneck instead of an accelerator.

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