Skip to main content
dbt Cloud

dbt Cloud

PROD
Feature List
✓ Pipelines
✓ Pipeline Status
✓ Tags
✓ Usage
✕ Owners
✕ Lineage
In this section, we provide guides and references to use the dbt Cloud connector. Configure and schedule dbt Cloud metadata and profiler workflows from the OpenMetadata UI:

​
Requirements

​
Python Requirements

We have support for Python versions 3.9-3.11

​
Metadata Ingestion

All connectors are defined as JSON Schemas. Here you can find the structure to create a connection to dbt cloud. In order to create and run a Metadata Ingestion workflow, we will follow the steps to create a YAML configuration able to connect to the source, process the Entities if needed, and reach the OpenMetadata server. The workflow is modeled around the following JSON Schema

​
1. Define the YAML Config

This is a sample config for dbt Cloud:

​
2. Run with the CLI

First, we will need to save the YAML file. Afterward, and with all requirements installed, we can run: 
metadata ingest -c <path-to-yaml>
Note that from connector to connector, this recipe will always be the same. By updating the YAML configuration, you will be able to extract metadata from different sources.