GitHub / chayansraj / Python-ETL-pipeline-using-Airflow-on-AWS
This project demonstrates how to build and automate an ETL pipeline written in Python and schedule it using open source Apache Airflow orchestration tool on AWS EC2 instance.
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PURL: pkg:github/chayansraj/Python-ETL-pipeline-using-Airflow-on-AWS
Stars: 17
Forks: 5
Open issues: 0
License: None
Language: Python
Size: 359 KB
Dependencies parsed at: Pending
Created at: about 2 years ago
Updated at: about 1 month ago
Pushed at: about 1 month ago
Last synced at: about 1 month ago
Commit Stats
Commits: 29
Authors: 1
Mean commits per author: 29.0
Development Distribution Score: 0.0
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/chayansraj/Python-ETL-pipeline-using-Airflow-on-AWS
Topics: airflow, airflow-dag, artificial-intelligence, automation, aws, aws-ec2, dags, data, data-engineering, database, elt, etl-pipeline, python3, reverse-etl, ssh-server, transformation, virtual-machine, visual-studio-code