Data ETL Pipelines Using Terraform

https://www.dheeraj3choudhary.com/automate-s3-data-etl-pipelines-with-aws-glue-using-terraform/

 

Creating an ETL pipeline with AWS Glue and Terraform can significantly streamline your data processing tasks. In this blog, we will walk you through the process of building an efficient AWS Glue ETL pipeline using Terraform. By the end of this guide, you’ll know how to set up AWS Glue to read data from an S3 bucket, process it with PySpark, and write the transformed data back to another S3 bucket. This step-by-step AWS Glue setup with Terraform ensures a seamless and automated ETL process, making your data management more effective and scalable.

Whether you’re new to AWS Glue or looking to optimize your existing ETL workflows, this tutorial will provide you with practical insights and best practices. We’ll cover everything from configuring Terraform for AWS Glue to setting up AWS Glue Data Catalog and creating AWS Glue jobs. By leveraging Terraform, you’ll be able to automate your AWS Glue ETL pipeline, reduce manual errors, and maintain consistent configurations across your environments. So, let’s dive into the world of serverless ETL and discover how AWS Glue and Terraform can transform your data processing capabilities.

 

 

 

https://github.com/Stefen-Taime/etl_onaws_deploy_with_terraform/tree/main

https://github.com/cloudposse/terraform-aws-glue