Amazon Managed Workflows for Apache Airflow

Difficulty: Intermediate

Duration: 1 minute and 56 seconds

Students: 426

Rating: 4.7/5

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.

Covered Topics