Wrap Up
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.
William Meadows is a passionately curious human currently living in the Bay Area in California. His career has included working with lasers, teaching teenagers how to code, and creating classes about cloud technology that are taught all over the world. His dedication to completing goals and helping others is what brings meaning to his life. In his free time, he enjoys reading Reddit, playing video games, and writing books.