Amazon MWAA for Analytics Workshop
Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed service for Apache Airflow that makes it easy for you to build and manage your workflows in the cloud. With Amazon MWAA, you can easily combine data using any of Apache Airflow’s open source integrations.
The active and growing open source community provides operators
(plugins that simplify connections to services) for Apache Airflow
to integrate with AWS services like Amazon S3, Amazon Redshift,
Amazon EMR, AWS Glue, and Amazon SageMaker, as well as services
on other cloud platforms.
What to expect from this workshop
What will I learn?
- In this workshop, you will learn to build and orchestrate data and ML pipelines that include many
of the above mentioned services, and with that you will gain familiarity and a better understanding of the hooks
and operators available as part of Airflow to manage your pipelines/workflows on AWS.
- We start with an introduction to the basics if you want to get familiar with the
concepts in Airflow before you get to the hands-on modules.
- If you are already familiar with the concepts, then you can start directly with the workshop Lab Guide
How much time does it take to complete the workshop?
- You might need about 2-3 hours to complete all the workshop modules.
However, the modules are independent of each other to the most part so you can pick and choose the area you want to learn as you wish.
What is the required learning level?
- Level 200 and up. Although you don’t need to be an expert to take this workshop,
it will help if you had some basic understanding about AWS Analytics services, and some familiarity with SQL and Python programming languages
Who is the audience for this workshop?
- If you work with data in any form, and build pipelines to transform/consume the data,
then this workshop is for you! :)
Will it cost me anything?
- Yes. If you are running this workshop on your own, going through this workshop will incur some costs. Make sure you cleanup the resources at the end to avoid unnecessary charges.