Airflow for Beginners: Build AI models ETL Job in 20 mins скачать в хорошем качестве

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

Skip the setup pain—learn Airflow properly here: https://datacamp.pxf.io/Wygvoe 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 -------------------- 📊 DataCamp Data Engineer Certification (50% OFF): https://datacamp.pxf.io/POmAMN 👉 Join my Free AI Automation Community: https://lukejb.short.gy/SqJOaK 📮 Join the Newsletter: https://lukejbyrne.com/subscribe 🔗 Follow me on Linkedin:   / lukejbyrne   -------------------- 🏅 RECOMMENDED COURSES: (All under one subscription) Top AI Courses: AI Engineer for Developers Course - https://datacamp.pxf.io/gO6WRB AI Engineer for Data Scientists Course - https://datacamp.pxf.io/XmnX4a Developing AI Applications Course - https://datacamp.pxf.io/Bny25L Top Data Courses: Data Engineer in Python - https://datacamp.pxf.io/aOAWNZ Associate Data Scientist in Python - https://datacamp.pxf.io/AP3Eg1 Data Analyst with Python - https://datacamp.pxf.io/GKVZbk Associate Data Analyst in SQL - https://datacamp.pxf.io/Z6KyV1 -------------------- 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 -------------------- Business inquiries: [email protected]