Amazon Managed Workflows for Apache Airflow

Introduction
Overview
Difficulty
Intermediate
Duration
15m
Students
133
Ratings
5/5
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Description

This course 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 course, 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.

Transcript

Hello, my name is Will Meadows and today we will be talking about Amazon-managed workflows for apache airflow. 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.

If you have any questions about anything I cover in this series please let me know at will.meadows@cloudacademy.com. Alternatively, you can always get in touch with us here at Cloud Academy by sending an email to support@cloudacademy.com and one of our cloud experts will reply to your question, concern, or comment. 

I would recommend this course for any solutions architects, developers, or people already working with apache airflows. 

Our learning objectives for this course are to: 

  • Learn about 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.
  • Learn about the key components required to set up your own Managed airflow environment.

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. I would also recommend a basic knowledge of ELT pipelines and state machines.

Feedback on our courses here at Cloud Academy are valuable to both us as trainers and any students looking to take the same course in the future. If you have any feedback, positive or negative, it would be greatly appreciated if you could send an email to support@cloudacademy.com.

Please note that, at the time of writing this content, all course information was accurate. AWS implements hundreds of updates every month as part of its ongoing drive to innovate and enhance its services. As a result, minor discrepancies may appear in the course content over time.  Here at Cloud Academy, we strive to keep our content up to date in order to provide the best training available. So, if you notice any information that is outdated, please contact support@cloudacademy.com.  This will allow us to update the course during its next release cycle.

 

About the Author

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.