Enroll Course: https://www.udemy.com/course/the-ultimate-hands-on-course-to-master-apache-airflow/
In the ever-evolving world of data engineering, workflow orchestration is paramount. Apache Airflow has emerged as a leading platform for programmatically authoring, scheduling, and monitoring complex data pipelines. If you’re looking to add this highly sought-after skill to your repertoire, look no further than Marc Lamberti’s “Apache Airflow: The Hands-On Guide” on Udemy.
This course is an absolute gem for anyone serious about mastering Airflow. Lamberti doesn’t just introduce you to Airflow; he immerses you in it. The fundamental concepts are laid out clearly, explaining the intricate workings of the scheduler and web server. But where this course truly shines is in its practical application. The “Forex Data Pipeline” project is a masterful stroke, allowing you to explore a wide array of Airflow operators while integrating with essential tools like Slack, Spark, and Hadoop.
DAG management is a critical aspect of Airflow, and Lamberti dedicates significant attention to this. You’ll learn to tackle timezones, unit test your DAGs, and structure your project effectively. The course also delves deep into scaling Airflow, offering detailed explanations of executors like Local, Celery, and Kubernetes. The hands-on setup of a 3-node Kubernetes cluster using Rancher, Airflow, and the Kubernetes Executor locally provides invaluable experience in managing distributed data pipelines and understanding worker specialization and failure scenarios.
For those looking to leverage cloud infrastructure, the course extends to setting up a Kubernetes cluster on AWS EKS with Rancher, further solidifying your understanding of cloud-native Airflow deployments. Advanced topics such as DAG templating, inter-DAG dependencies, SubDAGs, and deadlock prevention are covered with practical examples, ensuring you can handle sophisticated workflow requirements.
Monitoring and security are not afterthoughts here. Lamberti guides you through robust monitoring strategies using Elasticsearch and Grafana, and tackles crucial security aspects like RBAC for user roles and permissions, authentication, data encryption, and UI access control. This holistic approach ensures you can build and manage secure, observable Airflow instances.
What truly sets this course apart are the numerous practical exercises, quizzes at the end of each section to reinforce learning, and the emphasis on best practices. Lamberti’s commitment to student success is evident in his prompt responses to questions and the sheer effort put into delivering high-quality content. By the end of “Apache Airflow: The Hands-On Guide,” you’ll feel a profound sense of confidence in your ability to leverage Airflow for your data engineering needs.
Highly recommended for data engineers, data scientists, and anyone involved in building and managing data workflows.
Enroll Course: https://www.udemy.com/course/the-ultimate-hands-on-course-to-master-apache-airflow/