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Subject Area: SAP Datasphere
In an increasingly data-driven world, enterprises need analytics solutions that are fast, scalable, and integrated. SAP Datasphere and SAP HANA together form a powerful combination to meet these demands. While SAP Datasphere provides a unified data fabric for accessing and modeling data across distributed landscapes, SAP HANA offers an advanced in-memory computing platform for real-time processing. Integrating these two platforms allows organizations to execute high-performance analytics with minimal latency and maximum agility.
SAP Datasphere (formerly SAP Data Warehouse Cloud) is a next-generation data platform that allows seamless access to enterprise data across various sources—whether on-premise, cloud, SAP, or non-SAP systems. Built on SAP Business Technology Platform (BTP), it offers advanced capabilities in data modeling, integration, lineage, and governance.
Key features include:
SAP HANA is an in-memory, column-oriented, relational database management system designed for high-speed data processing. It's the foundation of many SAP solutions, including S/4HANA and SAP BW/4HANA. SAP HANA allows users to perform advanced analytics—such as predictive, spatial, and text analysis—on large volumes of data in real-time.
SAP HANA’s in-memory architecture enables real-time processing of large datasets. When connected with SAP Datasphere, it can serve as the underlying engine for executing complex analytical queries instantly.
SAP Datasphere provides a central layer for data modeling and governance, while SAP HANA handles storage and processing. Together, they allow unified access to governed, trusted data without data duplication.
By combining SAP Datasphere’s business modeling with HANA’s support for machine learning, graph, and spatial functions, organizations can implement advanced analytics within a governed environment.
Federated access to SAP HANA from SAP Datasphere eliminates the need for extensive data movement. Live data is queried directly at the source, reducing latency and improving performance.
SAP Datasphere can federate queries to an existing SAP HANA system using Smart Data Access. This approach allows for:
For scenarios where performance is critical or real-time connectivity is not feasible, Smart Data Integration allows data to be replicated from SAP HANA into SAP Datasphere.
SAP Datasphere includes embedded HANA capabilities, allowing for native HANA processing of data models. This is ideal for:
Model Close to the Source: Keep transformations and calculations as close to SAP HANA as possible to reduce data transfer and optimize performance.
Use Analytical and Fact Models Wisely: In SAP Datasphere, use Fact Models to connect live datasets with KPIs and Analytical Models for building composite metrics and aggregations.
Optimize Federated Queries: Use filters and projections early in queries to minimize the data volume transferred from SAP HANA.
Monitor Performance: Use SAP Datasphere’s Performance Monitor and SAP HANA’s SQL Analyzer to identify bottlenecks and fine-tune queries.
Implement Role-Based Access Controls: Use Datasphere’s space management and SAP HANA’s user roles to ensure secure, segmented data access.
Integrating SAP Datasphere with SAP HANA empowers organizations with a scalable, high-performance analytics environment. This integration allows users to combine trusted, governed data access with real-time, advanced processing capabilities. As data landscapes grow more complex, this synergy becomes essential for delivering actionable insights at the speed of business.
By leveraging this powerful duo, enterprises can drive digital transformation, optimize operations, and enable intelligent decision-making like never before.