Apache Airflow using Google Cloud Composer: Introduction

Master Apache Airflow with Google Cloud Composer: Your Journey to Workflow Mastery Begins Here! 🌩️

Are you ready to dive into the world of workflow automation without the headache of local installations? Look no further! Our comprehensive online course, "Apache Airflow using Google Cloud Composer: Introduction", is tailored for beginners who aspire to harness the power of Apache Airflow without the complexity of managing it on their own machines.

Course Instructor: Guha Rajan M., B.Engg, MBA, PMP - An industry expert with a wealth of knowledge to share!

Course Overview:

What You'll Learn:

• Apache Airflow Fundamentals: Understand the core concepts and how Apache Airflow revolutionizes workflow orchestration.
• Cloud Composer Essentials: Discover how Google Cloud Composer simplifies the deployment and management of Apache Airflow.
• Hands-On Learning: Engage with real-world scenarios and hands-on demonstrations that solidify your learning experience.
• Python DAGs: Learn to author Python DAGs to create and manage complex workflows effortlessly.

Why Choose This Course?

• Zero Local Setup Required: Start learning immediately without the need for local installations of Apache Airflow.
• Focus on Core Concepts: With Cloud Composer handling the infrastructure, you can concentrate on mastering Airflow's features and capabilities.
• Rich Learning Resources: Access a comprehensive set of Python DAG files to practice and enhance your skills.
• Expert Guidance: Learn from an experienced instructor who will guide you through every concept with clarity and practical examples.

Course Structure:

1. Introduction to Apache Airflow:

   • What is Apache Airflow?
   • Use cases and benefits of using Airflow.

2. Google Cloud Composer Explained:

   • How Cloud Composer simplifies workflow orchestration.
   • Setting up your environment in Cloud Composer.

3. Understanding DAGs in Airflow:

   • What are DAGs and how do they work?
   • Writing and testing your first Python DAG.

4. Hands-On Demonstrations:

   • Real-world scenarios where you can apply what you've learned.
   • Step-by-step guidance through problem-solving with Airflow.

5. Practice and Implementation:

   • Download the Python DAG source files for additional practice.
   • Experiment with different DAG configurations to understand their impact on workflows.

Key Features:

• Interactive Learning: Engage with the course material through quizzes, assignments, and real-life examples.
• Community Support: Join a community of like-minded learners and exchange ideas and solutions.
• Downloadable Content: Get your hands on the Python DAG files used in demonstrations for further practice.
• Flexible Learning Pace: Learn at your own pace with 24/7 access to course materials.

Ready to Kickstart Your Apache Airflow Journey?

With Google Cloud Composer, you can focus on learning Airflow's intricacies without worrying about the underlying infrastructure. This course is your gateway to mastering workflow automation and opening up a plethora of career opportunities in the cloud ecosystem.

Happy learning and see you in the cloud! ☁️🚀