Airflow for Beginners: Build AI models ETL Job in 20 mins

Опубликовано: 03 Май 2025
на канале: Luke J Byrne

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Build an Apache Airflow ETL Pipeline with Docker – From Scratch

In this tutorial, you’ll learn how to set up Apache Airflow using Docker and create a full ETL pipeline that pulls model data from the Hugging Face API, transforms it, and loads it into a PostgreSQL database using pgAdmin.

No fluff. Just a clear, practical walkthrough.

What you’ll learn:
• Set up Apache Airflow with Docker
• Create and run your first DAG
• Extract data from the Hugging Face API
• Clean and transform data in Python
• Load data into PostgreSQL using pgAdmin
• Connect Airflow to a database using hooks
• Pass data between tasks with xcom

Tech stack used:
Apache Airflow, Docker & Docker Compose, Python, PostgreSQL + pgAdmin, Hugging Face Transformers API

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0:00 Introduction to Airflow & ETL Pipeline
0:45 Understanding the Architecture (Docker, Airflow, PostgreSQL, PGAdmin)
10:00 Customizing Docker for Dependencies (Dockerfile, requirements.txt)
15:45 Setting up pgAdmin and Database Connection
19:25 Coding the Airflow DAG (Extract, Transform, Load tasks)
24:13 Running the DAG & Verifying Data in pgAdmin

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