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Complete End-To-End Build of ETL Pipeline in AWS

Complete End-To-End Build of ETL Pipeline in AWS

Data
A reusable AWS ETL pattern leverages ECS Fargate and DuckDB for single-node data processing, avoiding Spark-heavy solutions like Glue.
What: The article details an end-to-end ETL pipeline built on AWS, integrating ECS Fargate for compute, DuckDB for in-process data transformation, ECR, EventBridge, CloudWatch, Secrets Manager, and Terraform. This architecture focuses on handling single-node ETL jobs efficiently.
Why it matters: This pattern demonstrates a practical approach to building data pipelines that prioritizes simplicity and cost-effectiveness for single-node workloads, offering an alternative to more complex, distributed frameworks often associated with large-scale data processing.
Takeaway: Consider using DuckDB within containerized AWS services like ECS Fargate for ETL jobs if your data processing fits within a single node and you want to avoid the complexity or cost of Spark-based solutions.
Decoder
  • ETL (Extract, Transform, Load): A three-phase data integration process used to extract data from sources, transform it into a consistent format, and load it into a target system (like a data warehouse).
  • AWS ECS Fargate: A serverless compute engine for Amazon Elastic Container Service (ECS) that allows you to run containers without provisioning or managing servers.
  • AWS ECR (Elastic Container Registry): A fully managed Docker container registry that makes it easy to store, manage, and deploy Docker container images.
  • AWS EventBridge: A serverless event bus service that makes it easier to connect applications together using data from your own applications, integrated SaaS applications, and AWS services.
  • AWS CloudWatch: A monitoring and observability service that provides data and actionable insights to monitor applications, respond to system-wide performance changes, and optimize resource utilization.
  • AWS Secrets Manager: A service that helps you protect access to your applications, services, and IT resources by rotating, managing, and retrieving database credentials, API keys, and other secrets throughout their lifecycle.
  • Terraform: An open-source infrastructure as code software tool that enables you to safely and predictably create, change, and improve infrastructure.
  • AWS Glue: A serverless data integration service that makes it easy to discover, prepare, move, and combine data for analytics, machine learning, and application development; often uses Apache Spark for distributed processing.
Original article

A reusable AWS ETL pattern is built with ECS Fargate, DuckDB, ECR, EventBridge, CloudWatch, Secrets Manager, and Terraform, targeting single-node jobs rather than Spark-heavy Glue.

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