This is a copy of work originally done at AWS. I am creating this version since my previous work was not associated with my personal GitHub account.
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse solution that uses columnar storage to minimise IO, provides high data compression rates, and offers fast performance. This GitHub project provides an example workflow to load SAP data into Amazon Redshift that is completely serverless, based on AWS Glue and Amazon Athena.
Follow the steps in the Jupyter notebook in this Github repo.