AWS v6.64.0 published on Friday, Dec 6, 2024 by Pulumi
ETL pipeline with Amazon Redshift and AWS Glue
This example creates an ETL pipeline using Amazon Redshift and AWS Glue. The pipeline extracts data from an S3 bucket with a Glue crawler, transforms it with a Python script wrapped in a Glue job, and loads it into a Redshift database deployed in a VPC.
Prerequisites
- Install Pulumi.
- Install Node.js.
- Configure your AWS credentials.
Deploying the App
Clone this repo, change to this directory, then create a new stack for the project:
pulumi stack init
Specify an AWS region to deploy into:
pulumi config set aws:region us-west-2
Install Node dependencies and run Pulumi:
npm install pulumi up
In a few moments, the Redshift cluster and Glue components will be up and running and the S3 bucket name emitted as a Pulumi stack output.
... Outputs: dataBucketName: "events-56e424a"
Upload the included sample data file to S3 to verify the automation works as expected:
aws s3 cp events-1.txt s3://$(pulumi stack output dataBucketName)
When you’re ready, destroy your stack and remove it:
pulumi destroy --yes pulumi stack rm --yes