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Updated in [July 11th, 2023]
Create plugins to extend the functionality of Apache Airflow
Docker with Airflow and various executors
Understand core functionalities such as DAGs Operators Tasks Workflows and so on
Understand and apply advanced Apache Airflow concepts such as XCOMs Branching and SubDAGs
The distinction between Sequential Local and Celery Executors how they work and how they can be used
Use Apache Airflow in a Big Data ecosystem alongside Hive PostgreSQL Elasticsearch and other databases
Apache Airflow must be installed and configured
Consider respond to and implement Airflow-based solutions to real-world data processing problems
Course Syllabus
Course Introduction
Getting Started with Airflow
Coding Your First Data Pipeline with Airflow
Databases and Executors
Implementing Advanced Concepts in Airflow
Creating Airflow Plugins with Elasticsearch and PostgreSQL
Using Apache Airflow with Docker
Airflow 2.0