Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions,
see Getting Started with Amazon Web Services in China
(PDF).
Data analytics
SAP customers need business insights in real-time to react to business changes and leverage untapped business opportunities. This needs to be realized with modern, cloud-native solutions to shift from overnight data processing to real-time analytics. Leveraging Amazon and SAP solutions, customers can leverage purpose-built analytics services to gain competitive advantage in their respective industries.
Modern data architectures, such as Data Lakes, Data Warehouses and Lakehouse provide a combination of patterns and services that enable organisations to handle large volumes of structured and unstructured data for analysis and reporting, providing also a solid foundation for Artificial Intelligence (AI) and Machine Learning (ML) applications, including Generative AI. These architectures provide building blocks that can be implemented independently as well as complimenting each other, based on requirements and preferences.