Building Data Pipelines with Apache Airflow and AWS: A Complete Guide

Introduction

In this comprehensive guide, we’ll walk through setting up and implementing Apache Airflow with AWS MWAA (Managed Workflows for Apache Airflow). We’ll create a practical data pipeline that demonstrates key Airflow concepts and AWS integration.

Table of Contents

1. Prerequisites
2. Setting up AWS MWAA
3. Creating Your First DAG
4. Implementing EMR Pipeline
5. Monitoring and Troubleshooting
6. Cost Optimization

1. Prerequisites

Before we begin, ensure you have:

• AWS Account with appropriate permissions
• Basic Python knowledge
• Understanding of AWS services (S3, EMR, IAM)

2. Setting up AWS MWAA

2.1 Create S3 Bucket

aws s3 mb s3://your-airflow-bucket-name
aws s3api put-bucket-versioning \
    --bucket your-airflow-bucket-name \
    --versioning-configuration Status=Enabled

2.2 Create Requirements File