Apache Airflow for Workflow Automation Training focuses on building, scheduling, and managing automated data workflows using a Python-based orchestration platform. This training explains how Airflow uses Directed Acyclic Graphs (DAGs) to define task dependencies and execution order. You will learn how to create and configure workflows, schedule tasks, and manage dependencies between jobs. The course covers task retries, failure handling, monitoring, and logging for reliable automation. It also explains how to integrate Airflow with databases, APIs, and cloud services for end-to-end pipeline execution. You will learn how to use the Airflow UI to monitor workflows and troubleshoot issues effectively. This training is ideal for developers and data engineers who want to automate and orchestrate complex workflows efficiently.
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