Orchestrating workflows and pipelines with Apache Airflow in Cloudera Data Engineering
Automating data pipelines using Apache Airflow
Creating an Airflow DAG using the Pipeline UI
Managing an Airflow Pipeline using the CDE CLI
Creating a pipeline using the CDE CLI
Creating a basic Airflow pipeline using CDE CLI
Creating a pipeline with additional Airflow configurations using CDE CLI
Creating an Airflow pipeline with custom files using CDE CLI [Technical Preview]
Updating a pipeline using the CDE CLI
Updating a DAG file using the CDE CLI
Updating the Airflow job configurations using the CDE CLI
Updating the Airflow file mounts using the CDE CLI [Technical Preview]
Deleting an Airflow pipeline using the CDE CLI
Using CDE with an external Apache Airflow deployment
Supporting Airflow operators and hooks
Creating a custom Airflow Python environment
Creating a custom Airflow Python environment resource
CDE CLI custom Airflow Python environment flag reference
Uploading the resource to build the Python environment
Activating Python environment resources
Resetting to the default Airflow Python environment
Deleting Airflow Python environment resources