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Mastering Apache Airflow: Advanced DAGs, Scaling & Hands-on.

Learn advanced Apache Airflow skills: automate workflows, boost performance, and secure your orchestration. Master Airflow today!

4.6(7)
69students
2h 59m
Certificate
Tech Jedi
Tech JediLearn from Experts

Course Content

Mastering Apache Airflow: Advanced DAGs, Scaling & Hands-on. is a beginner-level Udemy course taught by Tech Jedi. It runs 2h 59m, is taught in English, and includes a certificate of completion. Learners rate it 4.6 out of 5 from 7 reviews, with 69 students enrolled. It is a paid course, last updated May 2025.

Unleash the power of Apache Airflow with this comprehensive course! Learn to design, implement, and scale robust data pipelines for real-world applications. "Mastering Apache Airflow: Advanced DAGs, Scaling & Hands-on" provides the skills you need to become an expert in workflow automation and orchestration.

This course starts with the fundamentals of Apache Airflow:

  • What is Apache Airflow? Explore the history and core concepts of this leading open-source platform.
  • Installation: Get Airflow up and running on your system.
  • Building DAGs: Learn to create and test your first Directed Acyclic Graphs (DAGs), the heart of Airflow workflows.

Then, dive into advanced Airflow concepts:

  • Custom Operators & Sensors: Extend Airflow's functionality to meet your specific needs.
  • XComs & Variables: Master data passing and configuration management within your workflows.
  • SLAs & Data Quality Checks: Ensure reliability and data integrity.

Gain practical experience through hands-on demos:

  • Monitoring & Logging: Track your workflows and troubleshoot issues effectively.
  • Performance Optimization: Improve the efficiency of your Airflow deployments.
  • Scaling Airflow: Handle large datasets with ease, including load balancing and ensuring high availability.

Learn to integrate Apache Airflow with key technologies:

  • Cloud Platforms: Deploy to AWS and GCP.
  • Big Data Technologies: Seamlessly integrate with your existing data infrastructure.
  • Docker & Kubernetes: Containerize and orchestrate your Airflow deployments.

Finally, cover essential aspects for production readiness:

  • Security & Permissions: Secure your workflows and data.
  • Advanced Data Processing: Explore techniques for complex data transformations.
  • Real-World Case Studies: See how Apache Airflow is used in finance, e-commerce, healthcare, and social media analytics.

By the end of this course, you'll be equipped to build, deploy, and manage highly efficient, secure, and scalable data pipelines. Become a confident Apache Airflow practitioner ready to tackle enterprise-level workflow challenges and drive data-driven decision-making. This course is perfect for anyone looking to master data orchestration and workflow management.

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