

To run it against your production target.

Listed in the dbt documentation above to get a fresh copy of your manifest.json. Note that you you have to run dbt compile -target prod or any of the other dbt commands Your dbt project uses multiple schemas, multiple databases or model aliases, you must use
METABASE GITHUB FULL
The recommended approach is to instruct dbt-metabase to read your manifest.json, aĭbt artifact containing the full representation of your dbt project's resources. There are two approaches provided by this library to read your dbt project: 1. Useful utility for introspecting the data model from source -> consumption with zero extra/repeated human input. On a cadence every X days) in order to keep a dbt docs site fully synchronized with BI. In a production environment, one can triggerĭbt docs generate after dbt-metabase exposures (or alternatively run the exposure extraction job This YAML, like the rest of your dbt project can be committed to sourceĬontrol to understand how exposures change over time.
METABASE GITHUB CODE
Questions which are native queries will have the SQL propagated to a code block in the documentation'sĭescription for full visibility. name: Number_of_orders_over_time description: ' # Visualization: Line A line chart depicting how order volume changes over time # Metadata Metabase Id: _8_ Created On: _T08:01:38.016244Z_ ' type: analysis url: maturity: medium owner:
