Security News > 2020 > November > Amazon MWAA: Enabling data engineers to easily execute data processing workflows in the cloud

Amazon Web Services announced the general availability of Amazon Managed Workflows for Apache Airflow, a new managed service that makes it easy for data engineers to execute data processing workflows in the cloud.

Amazon MWAA makes it easy for customers to build and execute Apache Airflow workflows in AWS. Amazon MWAA manages the provisioning and ongoing maintenance of Apache Airflow so customers no longer need to worry about patching, scaling, or securing self-managed Apache Airflow implementations.

Amazon MWAA makes it easy for customers to combine data using any of Apache Airflow's integrations, including AWS services and popular third-party tools like Apache Hadoop, Presto, Hive, and Spark, to automate data processing, machine learning pipelines, and software development and operations.

With Amazon MWAA, data engineers get the extensibility of Apache Airflow with the scalability, availability, and security of AWS. "Customers have told us they really like Apache Airflow because it speeds the development of their data processing and machine learning workflows, but they want it without the burden of scaling, operating, and securing servers," said Jesse Dougherty, Vice President, Application Integration, AWS. "With Amazon MWAA, customers can use the same Apache Airflow platform as they do today with the scalability, availability, and security of AWS.".

"Amazon Managed Workflows for Apache Airflow has helped us grow and scale our data science and machine learning workflows with significantly less infrastructure overhead," said Dan Jones, Senior Vice President of Data Intelligence for Rocket Mortgage.

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