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	<title>Amazon Managed Workflows for Apache Airflow (Amazon MWAA) &#8211; Noise</title>
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		<title>Introducing Amazon MWAA Serverless</title>
		<link>https://noise.getoto.net/2025/11/18/introducing-amazon-mwaa-serverless/</link>
		
		<dc:creator><![CDATA[John Jackson]]></dc:creator>
		<pubDate>Mon, 17 Nov 2025 22:22:46 +0000</pubDate>
				<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[serverless]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=aa8da86ad002392fa1d9755c3ecc6c87</guid>

					<description><![CDATA[Today, AWS announced Amazon Managed Workflows for Apache Airflow (MWAA) Serverless. This is a new deployment option for MWAA that eliminates the operational overhead of managing Apache Airflow environments while optimizing costs through serverless scaling. In this post, we demonstrate how to use MWAA Serverless to build and deploy scalable workflow automation solutions.]]></description>
		
		
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			</item>
		<item>
		<title>Best practices for migrating from Apache Airflow 2.x to Apache Airflow 3.x on Amazon MWAA</title>
		<link>https://noise.getoto.net/2025/10/07/best-practices-for-migrating-from-apache-airflow-2-x-to-apache-airflow-3-x-on-amazon-mwaa/</link>
		
		<dc:creator><![CDATA[Anurag Srivastava]]></dc:creator>
		<pubDate>Tue, 07 Oct 2025 17:31:02 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Best practices]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=8cdc889cdd85c1780767c71f9e4d8e15</guid>

					<description><![CDATA[Apache Airflow 3.x on Amazon MWAA introduces architectural improvements such as API-based task execution that provides enhanced security and isolation. This migration presents an opportunity to embrace next-generation workflow orchestration capabilities while providing business continuity. This post provides best practices and a streamlined approach to successfully navigate this critical migration, providing minimal disruption to your mission-critical data pipelines while maximizing the enhanced capabilities of Airflow 3.]]></description>
		
		
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			</item>
		<item>
		<title>Introducing Apache Airflow 3 on Amazon MWAA: New features and capabilities</title>
		<link>https://noise.getoto.net/2025/10/01/introducing-apache-airflow-3-on-amazon-mwaa-new-features-and-capabilities/</link>
		
		<dc:creator><![CDATA[Anurag Srivastava]]></dc:creator>
		<pubDate>Wed, 01 Oct 2025 16:40:57 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[announcements]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=c123a8ebfaf3581b7ba3b9de4b83c417</guid>

					<description><![CDATA[AWS announced the general availability of Apache Airflow 3 on Amazon Managed Workflows for Apache Airflow (Amazon MWAA). This release transforms how organizations use Apache Airflow to orchestrate data pipelines and business processes in the cloud, bringing enhanced security, improved performance, and modern workflow orchestration capabilities to Amazon MWAA customers. This post explores the features of Airflow 3 on Amazon MWAA and outlines enhancements that improve your workflow orchestration capabilities]]></description>
		
		
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			</item>
		<item>
		<title>Use Apache Airflow workflows to orchestrate data processing on Amazon SageMaker Unified Studio</title>
		<link>https://noise.getoto.net/2025/09/22/use-apache-airflow-workflows-to-orchestrate-data-processing-on-amazon-sagemaker-unified-studio/</link>
		
		<dc:creator><![CDATA[Vinod Jayendra]]></dc:creator>
		<pubDate>Mon, 22 Sep 2025 16:56:56 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[Application Integration]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=bec102efbc4f1b89d06ae17669841592</guid>

					<description><![CDATA[Orchestrating machine learning pipelines is complex, especially when data processing, training, and deployment span multiple services and tools. In this post, we walk through a hands-on, end-to-end example of developing, testing, and running a machine learning (ML) pipeline using workflow capabilities in Amazon SageMaker, accessed through the Amazon SageMaker Unified Studio experience. These workflows are powered by Amazon Managed Workflows for Apache Airflow.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>Build data pipelines with dbt in Amazon Redshift using Amazon MWAA and Cosmos</title>
		<link>https://noise.getoto.net/2025/08/13/build-data-pipelines-with-dbt-in-amazon-redshift-using-amazon-mwaa-and-cosmos/</link>
		
		<dc:creator><![CDATA[Cindy Li]]></dc:creator>
		<pubDate>Wed, 13 Aug 2025 20:12:37 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=98400f8be169603fd59f431df4e04840</guid>

					<description><![CDATA[In this post, we explore a streamlined, configuration-driven approach to orchestrate dbt Core jobs using Amazon Managed Workflows for Apache Airflow (Amazon MWAA) and Cosmos, an open source package. These jobs run transformations on Amazon Redshift. With this setup, teams can collaborate effectively while maintaining data quality, operational efficiency, and observability.]]></description>
		
		
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			</item>
		<item>
		<title>Best practices for upgrading Amazon MWAA environments</title>
		<link>https://noise.getoto.net/2025/06/02/best-practices-for-upgrading-amazon-mwaa-environments/</link>
		
		<dc:creator><![CDATA[Anurag Srivastava]]></dc:creator>
		<pubDate>Mon, 02 Jun 2025 15:30:16 +0000</pubDate>
				<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Best practices]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=8a5c8323d6949e6ca5ac3c38c6938415</guid>

					<description><![CDATA[In this post, we explore best practices for upgrading your Amazon MWAA environment and provide a step-by-step guide to seamlessly transition to the latest version.]]></description>
		
		
		<enclosure url="" length="0" type="" />

			</item>
		<item>
		<title>How LaunchDarkly migrated to Amazon MWAA to achieve efficiency and scale</title>
		<link>https://noise.getoto.net/2025/05/16/how-launchdarkly-migrated-to-amazon-mwaa-to-achieve-efficiency-and-scale/</link>
		
		<dc:creator><![CDATA[Asena Uyar, Dean Verhey]]></dc:creator>
		<pubDate>Fri, 16 May 2025 14:41:12 +0000</pubDate>
				<category><![CDATA[Amazon EC2 Container Service]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=785d76475632b4132e808218da87c7ae</guid>

					<description><![CDATA[In this post, we explore how LaunchDarkly scaled the internal analytics platform up to 14,000 tasks per day, with minimal increase in costs, after migrating from another vendor-managed Apache Airflow solution to AWS, using Amazon Managed Workflows for Apache Airflow (Amazon MWAA) and Amazon Elastic Container Service (Amazon ECS).]]></description>
		
		
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			</item>
		<item>
		<title>Build end-to-end Apache Spark pipelines with Amazon MWAA, Batch Processing Gateway, and Amazon EMR on EKS clusters</title>
		<link>https://noise.getoto.net/2025/05/01/build-end-to-end-apache-spark-pipelines-with-amazon-mwaa-batch-processing-gateway-and-amazon-emr-on-eks-clusters/</link>
		
		<dc:creator><![CDATA[Avinash Desireddy]]></dc:creator>
		<pubDate>Thu, 01 May 2025 15:51:29 +0000</pubDate>
				<category><![CDATA[Amazon EMR on EKS]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[Intermediate (200)]]></category>
		<category><![CDATA[open source]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=caf1e550ef43020d339c155278b57566</guid>

					<description><![CDATA[This post shows how to enhance the multi-cluster solution by integrating Amazon Managed Workflows for Apache Airflow (Amazon MWAA) with BPG. By using Amazon MWAA, we add job scheduling and orchestration capabilities, enabling you to build a comprehensive end-to-end Spark-based data processing pipeline.]]></description>
		
		
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			</item>
		<item>
		<title>How Flutter UKI optimizes data pipelines with AWS Managed Workflows for Apache Airflow</title>
		<link>https://noise.getoto.net/2025/04/29/how-flutter-uki-optimizes-data-pipelines-with-aws-managed-workflows-for-apache-airflow/</link>
		
		<dc:creator><![CDATA[Monica Cujerean, Ionut Hedesiu]]></dc:creator>
		<pubDate>Tue, 29 Apr 2025 16:38:05 +0000</pubDate>
				<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=952da3ac3c25d890eeeab85b0acab15f</guid>

					<description><![CDATA[In this post, we share how Flutter UKI transitioned from a monolithic Amazon Elastic Compute Cloud (Amazon EC2)-based Airflow setup to a scalable and optimized Amazon Managed Workflows for Apache Airflow (Amazon MWAA) architecture using features like Kubernetes Pod Operator, continuous integration and delivery (CI/CD) integration, and performance optimization techniques.]]></description>
		
		
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			</item>
		<item>
		<title>Best practices for least privilege configuration in Amazon MWAA</title>
		<link>https://noise.getoto.net/2025/04/29/best-practices-for-least-privilege-configuration-in-amazon-mwaa/</link>
		
		<dc:creator><![CDATA[Elizabeth Davis]]></dc:creator>
		<pubDate>Tue, 29 Apr 2025 16:32:12 +0000</pubDate>
				<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[AWS Big Data]]></category>
		<category><![CDATA[security]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=cbf3bb7eb31771aa92d5bd30785be788</guid>

					<description><![CDATA[In this post, we explore how to apply the principle of least privilege to your Amazon MWAA environment by tightening network security using security groups, network access control lists (ACLs), and virtual private cloud (VPC) endpoints. We also discuss the Amazon MWAA execution and deployment roles and their respective permissions.]]></description>
		
		
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			</item>
		<item>
		<title>Build unified pipelines spanning multiple AWS accounts and Regions with Amazon MWAA</title>
		<link>https://noise.getoto.net/2025/04/10/build-unified-pipelines-spanning-multiple-aws-accounts-and-regions-with-amazon-mwaa/</link>
		
		<dc:creator><![CDATA[Anubhav Gupta]]></dc:creator>
		<pubDate>Thu, 10 Apr 2025 20:08:07 +0000</pubDate>
				<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=64daf5841649507936aba2a914d569f4</guid>

					<description><![CDATA[In this blog post, we demonstrate how to use Amazon MWAA for centralized orchestration, while distributing data processing and machine learning tasks across different AWS accounts and Regions for optimal performance and compliance.]]></description>
		
		
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			</item>
		<item>
		<title>Amazon Web Services named a Leader in the 2024 Gartner Magic Quadrant for Data Integration Tools</title>
		<link>https://noise.getoto.net/2025/02/26/amazon-web-services-named-a-leader-in-the-2024-gartner-magic-quadrant-for-data-integration-tools/</link>
		
		<dc:creator><![CDATA[William Vambenepe]]></dc:creator>
		<pubDate>Wed, 26 Feb 2025 17:17:34 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon Kinesis]]></category>
		<category><![CDATA[Amazon Managed Streaming for Apache Kafka (Amazon MSK)]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Amazon Q]]></category>
		<category><![CDATA[Amazon SageMaker Unified Studio]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=5776fec6f1d0d8c7d4363aad975ead91</guid>

					<description><![CDATA[Amazon Web Services (AWS) has been recognized as a Leader in the 2024 Gartner Magic Quadrant for Data Integration Tools. We were positioned in the Challengers Quadrant in 2023. This recognition, we feel, reflects our ongoing commitment to innovation and excellence in data integration, demonstrating our continued progress in providing comprehensive data management solutions.]]></description>
		
		
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			</item>
		<item>
		<title>Building and operating data pipelines at scale using CI/CD, Amazon MWAA and Apache Spark on Amazon EMR by Wipro</title>
		<link>https://noise.getoto.net/2025/02/25/building-and-operating-data-pipelines-at-scale-using-ci-cd-amazon-mwaa-and-apache-spark-on-amazon-emr-by-wipro/</link>
		
		<dc:creator><![CDATA[Senaka Ariyasinghe]]></dc:creator>
		<pubDate>Tue, 25 Feb 2025 19:12:56 +0000</pubDate>
				<category><![CDATA[Amazon EMR]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Partner solutions]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=d91ef4123691761f14313f088b5df388</guid>

					<description><![CDATA[This blog post discusses how a programmatic data processing framework developed by Wipro can help data engineers overcome obstacles and streamline their organization’s ETL processes. The framework leverages Amazon EMR improved runtime for Apache Spark and integrates with AWS Managed services.]]></description>
		
		
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		<item>
		<title>How ANZ Institutional Division built a federated data platform to enable their domain teams to build data products to support business outcomes</title>
		<link>https://noise.getoto.net/2024/12/04/how-anz-institutional-division-built-a-federated-data-platform-to-enable-their-domain-teams-to-build-data-products-to-support-business-outcomes/</link>
		
		<dc:creator><![CDATA[Leo Ramsamy]]></dc:creator>
		<pubDate>Wed, 04 Dec 2024 18:32:11 +0000</pubDate>
				<category><![CDATA[Amazon Athena]]></category>
		<category><![CDATA[Amazon DataZone]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Amazon QuickSight]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Amazon Simple Storage Service (S3)]]></category>
		<category><![CDATA[Analytics]]></category>
		<category><![CDATA[Architecture]]></category>
		<category><![CDATA[AWS Glue]]></category>
		<category><![CDATA[AWS Lake Formation]]></category>
		<category><![CDATA[Best practices]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[Thought Leadership]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=1a77fb7087aae46f8d8a069d7f8722f3</guid>

					<description><![CDATA[ANZ Institutional Division has transformed its data management approach by implementing a federated data platform based on data mesh principles. This shift aims to unlock untapped data potential, improve operational efficiency, and increase agility. The new strategy empowers domain teams to create and manage their own data products, treating data as a valuable asset rather than a byproduct. This post explores how the shift to a data product mindset is being implemented, the challenges faced, and the early wins that are shaping the future of data management in the Institutional Division.]]></description>
		
		
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		<item>
		<title>Introducing Amazon MWAA micro environments for Apache Airflow</title>
		<link>https://noise.getoto.net/2024/11/19/introducing-amazon-mwaa-micro-environments-for-apache-airflow/</link>
		
		<dc:creator><![CDATA[Hernan Garcia]]></dc:creator>
		<pubDate>Tue, 19 Nov 2024 18:56:50 +0000</pubDate>
				<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[announcements]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=c81fdf30b6cedd503b1f92ee44da2b6c</guid>

					<description><![CDATA[Today, we’re excited to announce mw1.micro, the latest addition to Amazon MWAA environment classes. This offering is designed to provide an even more cost-effective solution for running Airflow environments in the cloud. With mw1.micro, we’re bringing the power of Amazon MWAA to teams who require a lightweight environment without compromising on essential features. In this post, we’ll explore mw1.micro characteristics, key benefits, ideal use cases, and how you can set up an Amazon MWAA environment based on this new environment class.]]></description>
		
		
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		<item>
		<title>Introducing simplified interaction with the Airflow REST API in Amazon MWAA</title>
		<link>https://noise.getoto.net/2024/10/23/introducing-simplified-interaction-with-the-airflow-rest-api-in-amazon-mwaa/</link>
		
		<dc:creator><![CDATA[Chandan Rupakheti]]></dc:creator>
		<pubDate>Wed, 23 Oct 2024 18:00:29 +0000</pubDate>
				<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[announcements]]></category>
		<category><![CDATA[Application Integration]]></category>
		<category><![CDATA[launch]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=26c3d5a3de30b49aa79557268d139e8e</guid>

					<description><![CDATA[Today, we are excited to announce an enhancement to the Amazon MWAA integration with the Airflow REST API. This improvement streamlines the ability to access and manage your Airflow environments and their integration with external systems, and allows you to interact with your workflows programmatically. The Airflow REST API facilitates a wide range of use cases, from centralizing and automating administrative tasks to building event-driven, data-aware data pipelines. In this post, we discuss the enhancement and present several use cases that the enhancement unlocks for your Amazon MWAA environment.]]></description>
		
		
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		<item>
		<title>Access private code repositories for installing Python dependencies on Amazon MWAA</title>
		<link>https://noise.getoto.net/2024/10/08/access-private-code-repositories-for-installing-python-dependencies-on-amazon-mwaa/</link>
		
		<dc:creator><![CDATA[Tim Wilhoit]]></dc:creator>
		<pubDate>Tue, 08 Oct 2024 16:12:39 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Technical How-to]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=3bb2de1008d70b617fd2f8e01472a151</guid>

					<description><![CDATA[This post demonstrates a method to selectively install Python dependencies based on the Amazon MWAA component type (web server scheduler, or worker) from a Git repository only accessible from your virtual private cloud (VPC).]]></description>
		
		
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		<item>
		<title>How ZS built a clinical knowledge repository for semantic search using Amazon OpenSearch Service and Amazon Neptune</title>
		<link>https://noise.getoto.net/2024/09/12/how-zs-built-a-clinical-knowledge-repository-for-semantic-search-using-amazon-opensearch-service-and-amazon-neptune/</link>
		
		<dc:creator><![CDATA[Abhishek Pan]]></dc:creator>
		<pubDate>Thu, 12 Sep 2024 16:55:09 +0000</pubDate>
				<category><![CDATA[Amazon Elastic Kubernetes Service]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Amazon Neptune]]></category>
		<category><![CDATA[Amazon OpenSearch Service]]></category>
		<category><![CDATA[Amazon RDS]]></category>
		<category><![CDATA[Customer Solutions]]></category>
		<category><![CDATA[generative AI]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=39d783c85e47ad674e7ece4435926577</guid>

					<description><![CDATA[In this blog post, we will highlight how ZS Associates used multiple AWS services to build a highly scalable, highly performant, clinical document search platform. This platform is an advanced information retrieval system engineered to assist healthcare professionals and researchers in navigating vast repositories of medical documents, medical literature, research articles, clinical guidelines, protocol documents, […]]]></description>
		
		
		<enclosure url="https://d2908q01vomqb2.cloudfront.net/artifacts/DBSBlogs/BDB-4176/Evidence_Catalog_Demo.mp4" length="13426803" type="video/mp4" />

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		<item>
		<title>How Kaplan, Inc. implemented modern data pipelines using Amazon MWAA and Amazon AppFlow with Amazon Redshift as a data warehouse</title>
		<link>https://noise.getoto.net/2024/08/22/how-kaplan-inc-implemented-modern-data-pipelines-using-amazon-mwaa-and-amazon-appflow-with-amazon-redshift-as-a-data-warehouse/</link>
		
		<dc:creator><![CDATA[Jimy Matthews]]></dc:creator>
		<pubDate>Thu, 22 Aug 2024 18:08:14 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon AppFlow]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Amazon Redshift]]></category>
		<category><![CDATA[Customer Solutions]]></category>
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					<description><![CDATA[Kaplan, Inc. provides individuals, educational institutions, and businesses with a broad array of services, supporting our students and partners to meet their diverse and evolving needs throughout their educational and professional journeys. In this post, we discuss how the Kaplan data engineering team implemented data integration from the Salesforce application to Amazon Redshift. The solution uses Amazon Simple Storage Service as a data lake, Amazon Redshift as a data warehouse, Amazon Managed Workflows for Apache Airflow (Amazon MWAA) as an orchestrator, and Tableau as the presentation layer.]]></description>
		
		
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		<item>
		<title>Optimize cost and performance for Amazon MWAA</title>
		<link>https://noise.getoto.net/2024/08/21/optimize-cost-and-performance-for-amazon-mwaa/</link>
		
		<dc:creator><![CDATA[Sriharsh Adari]]></dc:creator>
		<pubDate>Wed, 21 Aug 2024 16:33:59 +0000</pubDate>
				<category><![CDATA[Advanced (300)]]></category>
		<category><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA)]]></category>
		<category><![CDATA[Best practices]]></category>
		<guid isPermaLink="false">http://noise.getoto.net/?guid=b6147ca61930b010121303d334e79e93</guid>

					<description><![CDATA[Amazon Managed Workflows for Apache Airflow (Amazon MWAA) is a managed service for Apache Airflow that allows you to orchestrate data pipelines and workflows at scale. With Amazon MWAA, you can design Directed Acyclic Graphs (DAGs) that describe your workflows without managing the operational burden of scaling the infrastructure. In this post, we provide guidance […]]]></description>
		
		
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