LookML
The modeling language used by Looker to define dimensions, measures, and data relationships in the semantic layer, enabling centralized metric governance.
Timeline (last 90 days)
Governance capability is the invisible dividing line for BI tools: a semantic layer like LookML can fundamentally solve the "which number is right" problem, at the cost of requiring people who know SQL to maintain the models.
If Snowflake, BigQuery or Databricks sits at the center, Looker's LookML semantic layer is tailor-made for the data warehouse, and the premium is worth paying.
Representative implementations of modern semantic layers include dbt's Semantic Layer, Looker's LookML, and tools such as AtScale.
Modern data platforms such as dbt, Looker's LookML, and Atscale provide semantic layer management tools that can serve as a standardized intermediate layer for Agent data access.
Modern data platforms such as dbt's Metrics layer and Looker's LookML are exploring the standardization of the semantic layer.
All Facts (5)
Governance capability is the invisible dividing line for BI tools: a semantic layer like LookML can fundamentally solve the "which number is right" problem, at the cost of requiring people who know SQL to maintain the models.
50%UnverifiedIf Snowflake, BigQuery or Databricks sits at the center, Looker's LookML semantic layer is tailor-made for the data warehouse, and the premium is worth paying.
50%UnverifiedRepresentative implementations of modern semantic layers include dbt's Semantic Layer, Looker's LookML, and tools such as AtScale.
50%UnverifiedModern data platforms such as dbt, Looker's LookML, and Atscale provide semantic layer management tools that can serve as a standardized intermediate layer for Agent data access.
50%UnverifiedModern data platforms such as dbt's Metrics layer and Looker's LookML are exploring the standardization of the semantic layer.
50%