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Build unified pipelines spanning multiple AWS accounts and Regions with Amazon MWAA
- Organizations face challenges in orchestrating data and analytics workloads across multiple AWS accounts and Regions, but Amazon MWAA can help streamline this process.
- Amazon MWAA is a managed orchestration service for Apache Airflow, allowing users to create workflows without managing underlying infrastructure.
- A scenario involving data processing and machine learning teams in different AWS Regions demonstrates how to use Amazon MWAA for centralized orchestration.
- Architecture involves a centralized hub in one account orchestrating data pipelines in different accounts and Regions for seamless data flow.
- Setting up prerequisites involves creating roles, S3 buckets, and templates in multiple AWS accounts to enable cross-account data processing.
- Cross-account and cross-Region workflow setup includes IAM roles, Airflow connections, DAG implementation, and SageMaker operations for data processing and machine learning.
- Best practices for integration include secrets management, networking solutions, IAM role management, error handling, and managing Python dependencies.
- To clean up, all created resources should be removed to avoid future charges and ensure proper termination of services.
- The article concludes by emphasizing the benefits of using cross-account orchestration for complex data workflows and encourages readers to test the approach.
- Authors of the article include AWS technical experts passionate about data and analytics, providing valuable insights and guidance on implementing advanced AWS solutions.
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