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• Create plugins to add functionalities to Apache Airflow.
• Using Docker with Airflow and different executors
• Master core functionalities such as DAGs, Operators, Tasks, Workflows, etc
• Understand and apply advanced concepts of Apache Airflow such as XCOMs, Branching and SubDAGs.
• The difference between Sequential, Local and Celery Executors, how do they work and how can you use them.
• Use Apache Airflow in a Big Data ecosystem with Hive, PostgreSQL, Elasticsearch etc.
• Install and configure Apache Airflow
• Think, answer and implement solutions using Airflow to real data processing problems