LEARN APACHE AIRFLOW

Master Data Orchestration with Technical Precision

This book is ideal for students, data engineers, analysts, and DevOps professionals who want to master Apache Airflow for orchestrating complex workflows in production environments. You will learn how to configure DAGs, work with operators, integrate external APIs, scale with Celery and Kubernetes, and apply best practices in security and observability. Explore concepts such as XCom, trigger rules, parallelism, remote logging, and DAG versioning, all with a focus on practical application.

Includes:

- Creation and execution of DAGs with native operators

- Integration with REST APIs, databases, and distributed systems

- Configuration of Celery and Kubernetes executors for high scalability

- Monitoring implementation with Prometheus and Grafana

- Automated deployments with Git and CI/CD pipelines

- Security strategies with RBAC, encryption, and secret protection

- Performance optimization and load balancing across workers

By the end, you will be ready to apply Apache Airflow strategically, ensuring reliable automation, scalability, and data governance in corporate projects.

airflow, data orchestration, pipelines, devops, ci/cd, monitoring, automation, scalability, big data, data engineering