SAP Datasphere, part of the SAP Business Technology Platform, empowers organizations to manage, integrate, and consume data efficiently across diverse systems. One of its key capabilities lies in creating data views and data services, which enable users to model, expose, and share data flexibly without physically moving it. This article explores how to create data views and data services in SAP Datasphere, helping organizations unlock the full potential of their data.
Data Views are virtual representations of data created by combining, filtering, or transforming data from one or multiple sources. They serve as semantic models that abstract underlying data complexity and present a business-friendly view for reporting and analytics.
Data Services are endpoints that allow data views to be consumed by external applications or users, typically via APIs or standard query protocols. These services enable seamless data sharing and integration across the enterprise ecosystem.
Creating data views in SAP Datasphere allows organizations to:
Data services then expose these views for consumption, enabling integration with analytics tools, dashboards, and third-party applications while maintaining security and compliance.
Begin by connecting SAP Datasphere to various data sources—SAP systems like S/4HANA or non-SAP sources such as cloud databases. Datasphere supports both data replication and virtual access (federated queries).
Use built-in transformation functions for tasks such as aggregation, filtering, or conditional logic to shape the data as required by business scenarios.
Run preview queries to ensure the data view returns the expected results. Validate that business rules and transformations are correctly applied.
Once finalized, save the data view. Publishing it makes the view available for consumption by authorized users or external applications.
Choose an existing data view that you want to make accessible externally.
Implement role-based access control (RBAC) to restrict who can consume the data service. Enable data masking or filtering if sensitive data is involved.
After configuration, publish the data service. SAP Datasphere generates an API endpoint that external applications can use to query or fetch data.
External tools such as SAP Analytics Cloud, BI platforms, or custom applications can now consume the data service via REST or OData protocols, ensuring real-time and governed data access.
Creating data views and data services in SAP Datasphere is a powerful way to deliver flexible, governed, and reusable data assets across an enterprise. By leveraging these features, organizations can streamline data consumption, improve data quality, and enable seamless integration with analytics and business applications. SAP Datasphere’s intuitive tools empower both technical and business users to collaborate effectively, accelerating the journey to becoming a truly data-driven enterprise.