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Amazon Managed Workflows for Apache Airflow

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Amazon Managed Workflows for Apache Airflow

Amazon Managed Workflows for Apache Airflow (MWAA) Cheat Sheet

  • Amazon MWAA is a service that helps you manage and automate your data workflows using Apache Airflow.
  • Workflows are designed as Directed Acyclic Graphs (DAGs) using Python.
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Use Cases

  • Complex Data Workflows: Handles complex data processing tasks.
  • ETL Jobs: Coordinates Extract, Transform, Load (ETL) processes.
  • Machine Learning: Prepares datasets for machine learning models.

Key Features

  • Deployment: Easy setup and operation.
  • Scaling: Automatically adjusts to match workload demands.
  • Security: Built-in measures for data protection.
  • Monitoring: Comprehensive tracking of workflows.
  • Cost-Effectiveness: Reduces operational costs due to its managed nature.

Security

  • Network Isolation: Operates within Amazon’s Virtual Private Cloud (VPC).
  • Data Encryption: Uses AWS Key Management Service for automatic data encryption.

Pricing

  • Environment Pricing: Billed hourly based on environment size.
  • Additional Worker Instance Pricing: Billed hourly based on task load.
  • Additional Scheduler Instance Pricing: Billed hourly based on availability.
  • Database Storage: Billed per GB-month for storage consumed.

Amazon Managed Workflows for Apache Airflow References:

https://aws.amazon.com/managed-workflows-for-apache-airflow/

https://aws.amazon.com/managed-workflows-for-apache-airflow/features/

https://aws.amazon.com/managed-workflows-for-apache-airflow/pricing/

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Written by: Nestor Mayagma Jr.

Nestor is a cloud engineer and member of the AWS Community Builder. He continuously strives to expand his knowledge and expertise in AWS to foster personal and professional growth. He also shares his insights with the community through numerous AWS blogs, highlighting his commitment to Cloud Computing technology. In his leisure time, he indulges in playing FPS and other online games.

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