A walkthrough of data extraction patterns for SAP applications. The intent of this workshop is to educate about data extraction methods to extend your SAP data to AWS data lakes. For this Lab, We will focus on SAP ERP (S/4HANA, ECC, CRM, and others) and SAP BW applications as the source. This is where vast majority of AWS customer requirements in extracting the data to S3.
Depending on how much knowledge and experience you already have about AWS, this part may come with the following presentations:
Architecture Patterns for SAP DATA Extractions
End-to-end enterprise analytics:
A sample high-level architecture for end-to-end enterprise analytics is shown below. In this architecture, customers can extract data from SAP applications using the patterns to be discussed in this lab and combine it with non-SAP application using AWS services to build end-to-end enterprise analytic
High-level architecture can include Amazon S3, Amazon Redshift, Amazon Athena, Amazon Elasticsearch Service, and Amazon QuickSight. Other visualization solutions like Kibana and SAP Fiori Apps can also be a part of the solution:
Operational data provisioning–based extraction
File workloads data Extraction using SAP PI/PO and CPI