Amazon Managed Workflows for Apache Airflow (MWAA) Getting Started

With Amazon Managed Workflows for Apache Airflow (Amazon MWAA), you can build, schedule, and monitor complex data pipelines and workflows without managing the underlying infrastructure. In this course, you will learn the benefits and technical concepts of Amazon MWAA. If you are new to the service, you will learn how to start using Amazon MWAA through a demonstration using the AWS Management Console. You will learn how Amazon MWAA can streamline data processing tasks, automate repetitive operations, and orchestrate multi-step workflows.

Activities

• Presentations
• Demonstrations
• Knowledge checks

Course objectives

• Identify the purpose of Amazon MWAA.
• Recognize problems that Amazon MWAA can solve.
• Select the benefits of Amazon MWAA.
• Recognize key characteristics about Amazon MWAA pricing.
• Recognize the relationship between Amazon MWAA and other components of the AWS Cloud.
• Recognize the meaning of Amazon MWAA technical concepts.
• Identify typical use cases for Amazon MWAA.
• Recognize how to use Amazon MWAA.

Intended audience

• Cloud Operators
• Data Engineers
• Developers
• DevOps Engineers

Recommended Skills

• A basic understanding of AWS offerings and the challenges that customers face when operating Amazon MWAA.

Course outline

Module 1: Introduction

• Introduction to Amazon MWAA
• Architecture and Use Cases

Module 2: Using Amazon MWAA

• Creating an Amazon MWAA Environment
• Creating a Simple DAG
• Monitoring Running DAGs

Module 3: Resources

• Learn More
• Contact Us