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Metabase github
Metabase github









metabase github
  1. METABASE GITHUB FULL
  2. METABASE GITHUB CODE

To run it against your production target.

metabase github

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:

  • Extracting dbt model exposures from Metabase and generating YAML files to be included and revisioned with your dbt deployment.
  • Propagating table relationships represented as dbt relationships column tests.
  • Propagating columns semantic types and visibility types to Metabase through the use of dbt meta fields.
  • Propagating columns description to Metabase.
  • Propagating table descriptions to Metabase.
  • Triggering a Metabase schema sync before propagating the metadata.
  • Parsing your dbt project (either through the manifest.json or directly through the YAML files).
  • The main features provided by dbt-metabase are: Your analytics tool, dbt-metabase can propagate table relationships, model andĬolumn descriptions and semantic types (e.g. If dbt is your source of truth for database schemas and you use Metabase as Model synchronization from dbt to Metabase.











    Metabase github