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An SAP Lake House on AWS combines the best features of a data lake and a data warehouse, offering a unified platform for extracting, transforming, and analyzing SAP data alongside other enterprise data. Utilizing AWS Glue or Amazon AppFlow, SAP data is seamlessly ingested and processed in near real-time, enabling advanced analytics and decision-making. The Lake House architecture integrates Amazon S3 for scalable storage and Amazon Redshift for high-performance analytics, ensuring flexibility, cost-efficiency, and governance.
Overview
The SAP Lake House on AWS offers a robust and scalable architecture for centralizing and analyzing SAP data. With AWS Glue or Amazon AppFlow, organizations can efficiently extract data from SAP systems, store it in Amazon S3, and process it using tools like Amazon Redshift and Athena. This architecture provides the flexibility of a data lake with the performance of a data warehouse, enabling real-time insights, data governance, and seamless integration of SAP and non-SAP data.
Highlights
- Unified Data Architecture: Combines SAP and non-SAP data in a single Lake House architecture, offering both flexibility and performance.
- Efficient SAP Data Extraction: Uses AWS Glue or Amazon AppFlow for seamless, real-time, or batch data extraction from SAP systems.
- Scalable Storage: Amazon S3 provides cost-effective, tiered storage for both structured and unstructured data.
Details
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