Exposure properties
Related documentation
Overview
Exposures are defined in .yml
files nested under an exposures:
key. You may define exposures
in YAML files that also define define sources
or models
.
You can name these files whatever_you_want.yml
, and nest them arbitrarily deeply in subfolders within the models/
directory.
Example
models/jaffle/exposures.yml
version: 2
exposures:
- name: weekly_jaffle_metrics
label: Jaffles by the Week # optional, new in dbt Core v1.3
type: dashboard # required
maturity: high # optional
url: https://bi.tool/dashboards/1 # optional
description: > # optional
Did someone say "exponential growth"?
depends_on: # expected
- ref('fct_orders')
- ref('dim_customers')
- source('gsheets', 'goals')
- metric('count_orders')
owner:
name: Callum McData
email: data@jaffleshop.com
- name: jaffle_recommender
maturity: medium
type: ml
url: https://jupyter.org/mycoolalg
description: >
Deep learning to power personalized "Discover Sandwiches Weekly"
depends_on:
- ref('fct_orders')
owner:
name: Data Science Drew
email: data@jaffleshop.com
- name: jaffle_wrapped
type: application
description: Tell users about their favorite jaffles of the year
depends_on: [ ref('fct_orders') ]
owner: { email: summer-intern@jaffleshop.com }
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