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- Guidance for Integrating SAP and Non-SAP Data using Snowflake on AWS
Guidance for Integrating SAP and Non-SAP Data using Snowflake on AWS
Overview
This Guidance demonstrates how to accelerate your data-driven decision and unlock valuable business insights unifying SAP and non-SAP data while reducing operational complexity with Snowflake and SAP on AWS. This Guidance demonstrates how to implement a SAP Cloud Lakehouse using Snowflake on AWS, providing step-by-step instructions for comprehensive analytics integration. The solution leverages multiple integration pathways, including AWS Glue SAP OData connector for managed replication, SAP Business Data Cloud Datasphere replication flows, and AWS Partner Solutions. The implementation orchestrates data flow from SAP sources through Amazon S3 to Snowflake, where advanced transformation occurs using Streams and Tasks, enabling sophisticated machine learning applications with Amazon SageMaker and GenAI capabilities through Amazon Bedrock.
Benefits
Deploy multiple flexible pathways to extract and process SAP data using AWS services and partner solutions. Reduce development time while maintaining data integrity as you transform business-critical information into actionable insights.
Transform raw enterprise data into business intelligence using AWS Glue, Amazon S3, and machine learning services. Enable your teams to build predictive models and generate AI-driven insights from both SAP and non-SAP data sources.
Democratize data access across your organization with integrated visualization and AI tools like Amazon QuickSight and Amazon Bedrock. Empower business users with self-service analytics capabilities while maintaining governance over your enterprise data assets.
How it works
Data Integration: AWS, SAP & Partner Solutions with Snowflake
This architecture diagram illustrates how to effectively integrate SAP and non-SAP data using AWS, SAP, and Partner solutions withSnowflake.
SAP & Non-SAP Data Integration with Snowflake ELT
This diagram illustrates how to model and consume SAP and non-SAP data using Snowflake-curated data using an ELT framework.
Deploy with confidence
Ready to deploy? Review the sample code on GitHub for detailed deployment instructions to deploy as-is or customize to fit your needs.
Disclaimer
The sample code; software libraries; command line tools; proofs of concept; templates; or other related technology (including any of the foregoing that are provided by our personnel) is provided to you as AWS Content under the AWS Customer Agreement, or the relevant written agreement between you and AWS (whichever applies). You should not use this AWS Content in your production accounts, or on production or other critical data. You are responsible for testing, securing, and optimizing the AWS Content, such as sample code, as appropriate for production grade use based on your specific quality control practices and standards. Deploying AWS Content may incur AWS charges for creating or using AWS chargeable resources, such as running Amazon EC2 instances or using Amazon S3 storage.
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