Airflow Tutorial: End-to-End Machine Learning Pipeline with Docker Operator

Video Description

Airflow Tutorial: End-to-End Machine Learning Pipeline with Docker Operator #AirflowTutorial #AirflowDockerOperator #MachineLearningPipeline #DataEngineering ========== VIDEO CONTENT 📚 ========== In this comprehensive Airflow tutorial, we guide you through the process of creating an end-to-end machine-learning pipeline using the powerful Airflow Docker Operator. Learn how to simplify complex workflows and enhance your data pipeline's reproducibility and scalability. 🔥 Topics Covered: - Introduction to Airflow Docker Operator - Real-world use case: Creating a dataset, training a machine learning model, and publishing model artifacts to S3. - Setup local MinIO service in docker - Leveraging the Airflow Docker Operator to run ML pipeline in Docker containers. - Fine-tuning your Docker Operator to switch between Python scripts seamlessly. - Showcase running the pipeline with airflow locally or in the docker - Troubleshooting common issues when running Airflow within Docker containers. Whether you're a beginner or an Airflow enthusiast, this tutorial offers practical insights and hands-on examples to help you master Airflow, and Docker Operator, and build efficient machine learning pipelines. Subscribe, like, and share this video if you find it valuable. Leave a comment to let us know what topics you'd like to see in our next tutorial. Thanks for watching, and stay tuned for more Airflow and machine learning content! 🚀 Follow along with practical examples and find all the source code in the GitHub repository linked below. 🔗 GitHub Repository: https://github.com/coder2j/ml-pipeline-with-airflow-docker-operator 🔔 Subscribe: Don't forget to subscribe to our channel for more exciting tutorials. https://www.youtube.com/c/coder2j Subscribe, like, and share this video if you find it valuable. Leave a comment to let us know what topics you'd like to see in our next tutorial. Thanks for watching, and stay tuned for more data engineering and data science content! 🚀 Want to learn more? 2-hour beginner Airflow Tutorial: https://youtu.be/K9AnJ9_ZAXE 1-hour beginner PySpark Tutorial: https://youtu.be/EB8lfdxpirM Video Request: https://forms.gle/UMp4GA3krcSMMWzy9 ========== T I M E S T A M P ⏰ ========== Throughout the course, you will learn: 00:00 - Airflow Docker Operator Intro 01:53 - End-to-End ML Pipeline Real Usecase Explained 04:34 - Setup MinIO in Docker 06:48 - Create ML Pipeline with Airflow DockerOperator locally 11:18 - Create ML Pipeline with Airflow DockerOperator in Docker ========== L I N K S 🔗 ========== Airflow 2-hour FULL COURSE 👉 https://youtu.be/K9AnJ9_ZAXE PySpark Tutorial for Beginners 👉 https://www.youtube.com/playlist?list=PLwFJcsJ61ouiU1wvzzRk3pjU8xT9buJhr SQL Tutorial for Beginners 👉 https://youtube.com/playlist?list=PLwFJcsJ61ouizyVPDIjomZFb2S_zcJebP Airflow Tutorial Tips 👉 https://youtube.com/playlist?list=PLwFJcsJ61oujb3syZ7jh72iTF_kL1YgU0 Apache Airflow Tutorial for Beginners 👉 https://youtube.com/playlist?list=PLwFJcsJ61oujAqYpMp1kdUBcPG0sE0QMT ========== Connect with me 👏 ========== Twitter 👉 https://twitter.com/Coder2j Website 👉 https://coder2j.com GitHub 👉 https://github.com/coder2j