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

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  • Опубликовано: 5 июл 2024
  • 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: github.com/coder2j/ml-pipelin...
    🔔 Subscribe: Don't forget to subscribe to our channel for more exciting tutorials. / 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: • Airflow Tutorial for B...
    1-hour beginner PySpark Tutorial: • PySpark Tutorial for B...
    Video Request: 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 👉 • Airflow Tutorial for B...
    PySpark Tutorial for Beginners 👉 • PySpark Tutorial for B...
    SQL Tutorial for Beginners 👉 • SQL Tutorial for Begin...
    Airflow Tutorial Tips 👉 • Airflow Tutorial Tips
    Apache Airflow Tutorial for Beginners 👉 • Apache Airflow Tutoria...
    ========== Connect with me 👏 ==========
    Twitter 👉 / coder2j
    Website 👉 coder2j.com
    GitHub 👉 github.com/coder2j

Комментарии • 8

  • @vohoang6693
    @vohoang6693 День назад

    Thank you for sharing this free. I have watch and practise your airflow course . It's very easy for everyone to understand

  • @baigalaa1769
    @baigalaa1769 12 дней назад

    You are the GOAT!!! Thank you so much!!!❤

  • @machinimaaquinix3178
    @machinimaaquinix3178 8 месяцев назад +1

    Oh perfect timing, I just finished the early core airflow videos and just setting things up for a data pipeline.

  • @kbhaskar36
    @kbhaskar36 6 месяцев назад

    Amazing video. Thank you so much for this knowledge sharing through this video.

  • @chineseculture1034
    @chineseculture1034 8 месяцев назад

    Love it like always! 🤩

    • @coder2j
      @coder2j  8 месяцев назад

      🙌🙌

  • @tylerdurden4285
    @tylerdurden4285 5 месяцев назад +2

    Please keep using your real original voice not the AI one. Its way better. Thanks for the great videos ❤