> ## Documentation Index
> Fetch the complete documentation index at: https://developers.stellar.org/llms.txt
> Use this file to discover all available pages before exploring further.

# Architecture

> In general stellar-etl-airflow runs by.

## Architecture Overview

![](https://mintcdn.com/stellardevelopmentfoundation/nXKshiEJBuAoHF5T/img/hubble/stellar_etl_airflow_architecture.png?fit=max\&auto=format\&n=nXKshiEJBuAoHF5T\&q=85\&s=543ae2b13f4b6c409249b8bdda0b2b6b)

In general stellar-etl-airflow runs by:

* Scheduling DAGs to run `stellar-etl` and upload the data outputted to BigQuery
* Scheduling DAGs to run `stellar-dbt-public` using the data in BigQuery
  * We try to adhere to the best practices set by the [dbt docs](https://docs.getdbt.com/docs/build/projects)

More detailed information about stellar-etl-airflow can be found in the [stellar-etl-airflow](https://github.com/stellar/stellar-etl-airflow/tree/master) repo.
