ETL jobs using AWS DataBrewPython
To create ETL jobs using AWS DataBrew, we can make use of the
aws_native.databrew.Reciperesources. These resources from the
aws_nativepackage allow you to control a DataBrew job and recipe, respectively.
aws_native.databrew.Jobis used to define a DataBrew job that transforms and analyzes datasets. It is a core component of ETL (Extract, Transform, Load) workflows.
aws_native.databrew.Recipeis a set of steps to be performed on data by a job defined in AWS Glue DataBrew.
Below is a simple Pulumi Program that demonstrates how to set up a AWS DataBrew job with a recipe:
Please note that you will need to replace
"s3-output-bucket"with your actual Dataset name, Role ARN, and Output S3 bucket name, respectively.
For more information, see: