https://github.com/sungchun12/airflow-dbt-cloud
dbt Cloud pipelines in airflow examples
https://github.com/sungchun12/airflow-dbt-cloud
airflow data dbt dbt-cloud schedule scheduler workflow-engine
Last synced: about 1 month ago
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dbt Cloud pipelines in airflow examples
- Host: GitHub
- URL: https://github.com/sungchun12/airflow-dbt-cloud
- Owner: sungchun12
- License: apache-2.0
- Created: 2021-12-10T18:09:38.000Z (almost 4 years ago)
- Default Branch: main
- Last Pushed: 2023-10-30T22:31:33.000Z (almost 2 years ago)
- Last Synced: 2025-04-03T17:52:45.850Z (6 months ago)
- Topics: airflow, data, dbt, dbt-cloud, schedule, scheduler, workflow-engine
- Language: Python
- Homepage:
- Size: 698 KB
- Stars: 35
- Watchers: 1
- Forks: 14
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# airflow-dbt-cloud
Examples of scheduling dbt Cloud pipelines in airflow. This is intended to be the simplest and fastest way to get locally started.
## Getting Started
Follow this wonderful guide: [here](https://docs.getdbt.com/guides/orchestration/airflow-and-dbt-cloud/1-airflow-and-dbt-cloud)
> Note: Follow the below instructions to get started with the example DAGs in this repo using the [new `astro` CLI vs. the old `astrocloud` CLI](https://docs.astronomer.io/astro/cli/install-cli#migrate-from-astrocloud-to-astro)
Astro CLI Docs: [here](https://github.com/astronomer/astro-cli)
```bash
# install astro cli
brew install astro
# start the astro dev environment
astro dev start
```