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We'll cover the fundamental concepts of Apache Airflow, such as DAG and Operators, and I'll show you how to install Apache Airflow from scratch and plan your ETL pipeline. I will also show you how to use a sensor in your ETL pipeline.
Because this is a hands-on project, I highly encourage you to first watch the video in its entirety without following along so you can better understand the concepts and workflows. Then you can try to replicate the example I showed without watching the video. video, but refer to the video if you're stuck, or you can watch the video in its entirety a second time and follow along this time.
Remember, the best way to learn is to do it yourself – get your hands dirty!
If you have any questions or concerns, please ask or leave comments in the comments section below.
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***************** Commands used in this video *****************
sudo apt update
sudo apt install python3-pip
sudo apt install python3.10-venv
python3 -m venv airflow_venv
sudo pip install pandas
sudo pip install s3fs
sudo pip install apache-airflow
air flow independently
sudo apt install awscli
configure aws
aws sts get-session-token
***************** USEFUL LINKS *****************
Extract current weather data from the Open Weather Map API using Python on AWS EC2: https://www.youtube.com/watch?v0_caTDCZnd0&t13s
How to connect Visual Studio Code to AWS EC2 remotely: https://www.youtube.com/watch?vsQQjMnEkGjs&t1224s
PostgreSQL playlist: https://www.youtube.com/watch?voFaLUCWRnRE&listPLACD_PaYcVF09khO58CISr08Uy6w3cAIF
Weather Map API: https://openweathermap.org/api
Github repository: https://github.com/YemiOla/data_engineering_project_openweathermap_api_airflow_etl_aws
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