About MetricFlow
Learn more about MetricFlow and its key concepts
Learn more about MetricFlow and its key concepts
Discover the diverse range of partners that seamlessly integrate with the powerful dbt Semantic Layer, allowing you to query and unlock valuable insights from your data ecosystem.
Learn about MetricFlow and build your metrics with semantic models
Metrics can be defined in the same or separate YAML files from semantic models within the same dbt project repo.
Use Cumulative metrics to aggregate a measure over a given window.
Learn how the dbt Semantic Layer enables data teams to centrally define and query metrics.
dbt Semantic Layer product architecture and related questions.
Derived metrics is defined as an expression of other metrics..
Dimensions determine the level of aggregation for a metric, and are non-aggregatable expressions.
Entities are real-world concepts that correspond to key parts of your business, such as customers, transactions, and ad campaigns.
Learn how to create your first semantic model and metric.
Use this guide to build and define metrics, set up the dbt Semantic Layer, and query them using the Semantic Layer APIs.
Integrate and use the GraphQL API to query your metrics.
Integrate and use the JDBC API to query your metrics.
Joins allow you to combine data from different tables and create new metrics
Learn how to migrate from the legacy dbt Semantic Layer to the latest one.
Measures are aggregations performed on columns in your model.
Query metrics and metadata in your dbt project with the metricflow cli
MetricFlow expects a default timespine table called metricflow_time_spine
Use ratio metrics to create a ratio out of two measures.
Integrate and query using the Semantic Layer API.
Learn about the semantic manifest.json file and how you can use artifacts to gain insights about your dbt Semantic Layer.
Semantic models are yml abstractions on top of a dbt mode, connected via joining keys as edges
Seamlessly set up the dbt Semantic Layer in dbt Cloud using intuitive navigation.
Use simple metrics to directly reference a single measure.
The Semantic Layer, powered by MetricFlow, has three types of built-in validations, including Parsing Validation, Semantic Validation, and Data Warehouse validation, which are performed in a sequential and blocking manner.