Building Data Pipelines for a data warehouse with Airflow and AWS
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Updated
Dec 23, 2022 - Python
Building Data Pipelines for a data warehouse with Airflow and AWS
Repositorio para realizar el curso llamado "Apache Airflow" en Udemy, expuesto por Javier López Tomás (Data Engineer)
A series of Plugins for Apache Airflow (https://airflow.incubator.apache.org/)
Common SQL Apache Airflow operators for Vertica
Prometheus Exporter for Airflow
Airflow plugin to create/edit Dags via drag-and-drop on a convenient UI
Airflow plugin with hooks and operators to work with GPG encryption and decryption.
Airflow plugin to interact with PostgreSQL database using AWS Secrets Manager to retrieve credentials.
Apache Airflow plugin for SQL Server
A collection of useful operators for Apache Airflow
Airflow plugin to interact with AWS to complement Airflow's native AWS functionalities.
Loan Default Prediction using PySpark, with jobs scheduled by Apache Airflow and Integration with Spark using Apache Livy
Zero configuration Airflow plugin that let you manage your DAG files.
A plugin for backfilling task's and dag's through the UI
Example DAGs using hooks and operators from Airflow Plugins
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