update README
Signed-off-by: Alexis Pentori <alexis@status.im>
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README.md
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README.md
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The DBT models run in some DAG are stored in [`dbt-models`](https://github.com/status-im/dbt-models).
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# Examples
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Simple working DAGs taken from Airflow documentation:
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* [`bash_commands.py`](examples/bash_commands.py) - Use of `BashOperator` and simple layout.
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* [`task_decorator.py`](examples/task_decorator.py) - More complex layout with `DummyOperator`.
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* [`task_generator.py`](examples/task_generator.py) - Semi-dynamic way to generate tasks.
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* [`taskflow_api.py`](examples/taskflow_api.py) - `SimpleHttpOperator` and `EmailOperator`.
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These were researched in [infra-bi#1](https://github.com/status-im/infra-bi/issues/1). More examples are always welcome.
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# Continuous Integration
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Changes pushed to `master` are automatically fetched to our Airflow instance by the [`airflow-webhook`](https://github.com/status-im/infra-bi/tree/master/ansible/roles/airflow-webhook) service.
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