Data warehousing with AWS GlueC#
For data warehousing with AWS Glue, a basic setup often involves creating an AWS Glue Job and possibly an AWS Glue Workflow to manage and orchestrate transformations. The Glue Job will execute your ETL (Extract, Transform, Load) script stored in an S3 bucket, transforming your data as per your requirements.
Here is a simple example of a Pulumi program written in C# that sets up a Glue Job:
In this code:
- An IAM Role is created for AWS Glue.
- The necessary permissions for the Role are added in an IAM Role Policy.
- An AWS Glue ETL Job is created which uses an ETL script from an S3 location and runs with a role that has the necessary permissions. The command name
glueetlis used to denote that the AWS Glue ETL engine should be used to run the script.
"s3://my-bucket/my-etl-script.py"with the actual location of your ETL script.