With unified data and analytics, unleash the data-driven business.
SAP® Data Warehouse Cloud integrates cloud data and analytics, utilizing SAP HANA® Cloud database for real-time data understanding and decision-making in enterprises.
SAP Data Warehouse Cloud is a platform that connects SAP and third-party data across clouds and on-premise repositories in real-time, preserving business context. It offers data insights for stakeholders, enforces data privacy, and accelerates business outcomes. Built on SAP HANA® Cloud, it offers in-memory data processing, advanced analytics, and data virtualization capabilities.
Is your business an intelligent one?
Savantis is a comprehensive SAP worldwide systems integrator with a single, shared objective: success! Savantis is the solution if you've had enough of the bigger tier one integrators but still require a comprehensive worldwide services supplier. Our extensive and comprehensive SAP experience enables us to provide and maintain worldwide enterprise solutions. In the SAP ecosystem, our delivery leadership offers the highest level of expertise at the most competitive pricing. Visit us to see the difference.
Semantic Services
Utilize data virtualization, replication, and orchestration to access data across cloud and on-premise apps from SAP and other third-party sources. To provide a deeper understanding of business information, maintain the context and semantics of your SAP data.
Safe Work Areas
Virtual workspaces provide insulated sandboxes for data analysis, enabling multiple users to work on the same data. They offer access to data sources, a business catalog, and intuitive modeling tools, ensuring secure data encryption and authentication.
Functionalities and Features of SAP Data Warehouse Cloud
SAP Data Warehouse Cloud is a comprehensive, integrated, and persona-driven cloud solution for data management and decision-making, offering reduced deployment complexity and integration with SAP S/4HANA, SAP Analytics Cloud, partner solutions, and open-source technologies.
Make areas that are specific to your company's needs. Represent data in spaces using models. Although separated, the spaces allow for varying access. Choose the users, storage type, size, and priority.
Access data from on-premises, cloud, and SAP sources. Virtually connect data or recreate it in real time. To get data, use tools or APIs. For complex requirements, use scripting and data transformations to prepare the data.All rights reserved.
Define data models with the graphical tools or in the data layer of the SQL editor for data using a technical, model-driven approach. As a data engineer, you should flexibly update data models and model, aggregate, and harmonize data in a uniform, standardized manner.
Using the business layer's graphical tools, create your business scenarios without regard to the data layer. Map the models to the data layer and model in a demand-driven manner using business language to address common queries.
Control system-level configurations, including those related to security, auditing, monitoring, connectivity, and data integration. Control database access, IP allowlists, and other self-service features.
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SAP S/4 Hana
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SAP Basis & Security
