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Project files for the post: Running PySpark Applications on Amazon EMR using Apache Airflow: Using the new Amazon Managed Workflows for Apache Airflow (MWAA) on AWS.

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garystafford/aws-airflow-demo

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Running PySpark Applications on Amazon EMR using Apache Airflow

Overview

Project files for the post, Running PySpark Applications on Amazon EMR using Apache Airflow: Using the new Amazon Managed Workflows for Apache Airflow (MWAA) on AWS. Please see post for complete instructions on using the project's files.

Updates

Project was updated for Amazon MWAA Airflow version 2.0.2 on 2021-11-04.


The contents of this repository represent my viewpoints and not of my past or current employers, including Amazon Web Services (AWS). All third-party libraries, modules, plugins, and SDKs are the property of their respective owners. The author(s) assumes no responsibility or liability for any errors or omissions in the content of this site. The information contained in this site is provided on an "as is" basis with no guarantees of completeness, accuracy, usefulness or timeliness.

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Project files for the post: Running PySpark Applications on Amazon EMR using Apache Airflow: Using the new Amazon Managed Workflows for Apache Airflow (MWAA) on AWS.

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