17 docs tagged with "Metrics"

Learn more about MetricFlow and its key concepts

Learn about MetricFlow and build your metrics with semantic models

Use Conversion metrics to measure conversion events.

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.

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.

Joins allow you to combine data from different tables and create new metrics

Measures are aggregations performed on columns in your model.

Query metrics and metadata in your dbt project with the MetricFlow commands.

MetricFlow expects a default timespine table called metricflow_time_spine

Use ratio metrics to create a ratio out of two measures.

Saved queries are a way to save commonly used queries in MetricFlow. They can be used to save time and avoid writing the same query over and over again.

Semantic models are yml abstractions on top of a dbt mode, connected via joining keys as edges

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.