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Amazon Managed Workflows

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Amazon Managed Workflows for Apache Airflow

2024-04-25T06:42:18+00:00

Bookmarks Key Features Security Pricing References 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. 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: [...]

Amazon Managed Workflows for Apache Airflow2024-04-25T06:42:18+00:00

A Compact Guide to Building Your First DAG with Amazon Managed Workflows for Apache Airflow

2023-11-30T05:46:03+00:00

In the vast realm of data processing, orchestrating workflows becomes crucial to ensure tasks run efficiently and reliably. Apache Airflow has revolutionized this aspect, providing a flexible platform to define, schedule, and monitor workflows. Combining this with Amazon's managed service, we can supercharge our workflow setup without the overhead of manual maintenance. In this guide, we dive deep into constructing your first Directed Acyclic Graph (DAG) using Apache Airflow, elucidating each component and step involved. Directed Acyclic Graph (DAG) At its core, a DAG is a collection of vertices and edges, where each edge has a direction, and there are [...]

A Compact Guide to Building Your First DAG with Amazon Managed Workflows for Apache Airflow2023-11-30T05:46:03+00:00

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