Data Engineering Project for Beginners | Airflow + Coder

Embark on your data engineering journey with our detailed tutorial on setting up an Apache Airflow pipeline using Coder, an open-source cloud development environment. In this video, we break down the essentials of using Airflow for data orchestration, from pulling data using the OpenWeather API to managing your data flows efficiently on the Google Cloud Platform. Whether you're a beginner or just looking to refine your skills, this guide covers everything you need to start creating and managing your own data pipelines. We'll guide you through: - Installing Airflow easily on any OS using Docker. - Creating a robust Airflow pipeline to handle real-time weather data. - Storing and managing your data securely on Google Cloud. - Using Coder to develop and manage your Airflow projects directly from your browser, without the need for additional IDE installations. No prior experience with Docker, Airflow, or Coder? No problem! We provide step-by-step instructions and all the necessary resources to get you started. By the end of this tutorial, you'll have a fully functional Airflow instance running locally, along with a practical understanding of how to manipulate and process data within the platform. What You'll Learn: - Basic setup of Apache Airflow using Docker and Coder. - Creating and managing data pipelines with Airflow. - Integrating APIs and external data into your workflow. - Best practices for using Google Cloud Platform with Airflow. Whether you're building your first project or looking to implement sophisticated data workflows, this video will equip you with the knowledge and tools you need to succeed. Don't forget to subscribe and leave your questions or feedback in the comments below!