dbt Semantic Layer
A semantic layer product in the dbt ecosystem used to centrally define and manage metric definitions, providing unified business semantics to downstream BI and query tools.
Core Facts
Timeline (last 90 days)
Representative implementations of modern semantic layers include dbt's Semantic Layer, Looker's LookML, and tools such as AtScale.
The dbt Semantic Layer is based on the MetricFlow engine, which allows metrics to be declaratively defined on dbt models.
Tools such as dbt Semantic Layer, Cube.dev, and AtScale have successively launched AI-oriented semantic interfaces.
The semantic layer is an abstraction layer situated between raw data storage and business applications, transforming technical database structures into business-friendly conceptual models and defining unified calculation logic for business metrics.
All Facts (4)
The semantic layer is an abstraction layer situated between raw data storage and business applications, transforming technical database structures into business-friendly conceptual models and defining unified calculation logic for business metrics.
80%UnverifiedThe dbt Semantic Layer is based on the MetricFlow engine, which allows metrics to be declaratively defined on dbt models.
70%UnverifiedRepresentative implementations of modern semantic layers include dbt's Semantic Layer, Looker's LookML, and tools such as AtScale.
50%UnverifiedTools such as dbt Semantic Layer, Cube.dev, and AtScale have successively launched AI-oriented semantic interfaces.
50%