Python ETL tutorial with Apache airflow, postgreSQL, Grafana, and pgAdmin

Описание

This is a beginner tutorial, I'm running a sample ETL process to extract, transform, load, and visualize the corona dataset. I'm using Python for the main ETL task, Apache Airflow service for scheduling, PostgreSQL (TimeScale DB) for data storage, pgAdmin for database GUI, and Grafana for the final visualization. The Docker is used to run services in an isolated environment which you can run on any operating system.