Amazon Managed Workflows for Apache Airflow

This lesson delves into Amazon-managed workflows for Apache Airflow (MWAA). This is a great service for anyone already using Apache Airflow, and wanting to find a better way to deal with setting up the service, scheduling, and managing their workflow.

Learning Objectives

• Understand how Amazon-managed workflows for Apache Airflow is implemented within AWS
• Learn about DAGs (Directed Acyclic Graphs), which Apache Airflow uses to run your workflows
• Understand the key components required to set up your own Managed Airflow environment

Intended Audience

This is a great service for anyone already using Apache Airflow, and wanting to find a better way to deal with setting up the service, scheduling, and managing their workflow.

Prerequisites

To get the most out of this lesson, you should have a decent understanding of cloud computing and cloud architectures, specifically with Amazon Web Services. You should also have some background knowledge about Apache Airflow, however, that is not a hard requirement. Basic knowledge of ELT pipelines and state machines would also be beneficial.