Blog Title: Explore your Hyperscale Data with SAP Datasphere

In the rapidly evolving landscape of enterprise IT, the convergence of hyperscale cloud providers and business-critical data has become a strategic imperative. As organizations increasingly leverage hyperscaler platforms like Amazon Web Services, Google Cloud Platform, and Microsoft Azure for cost-effective and scalable data management, the need to seamlessly integrate and analyze data from these hyperscale environments with SAP’s business applications has emerged as a critical business requirement.

Solution Diagram

FedML Solution Diagram

SAP Datasphere, a multisource business semantic service within the SAP Business Technology Platform, stands at the forefront of addressing this need. This Software-as-a-Service (SaaS) solution, built on the robust foundation of the SAP HANA Cloud database, offers a suite of capabilities encompassing data modeling, connectivity, virtualization, and access across the enterprise. One of its standout features is the ability to federate data from hyperscaler platforms, providing organizations with a unified view of their data landscape.

Use Case: Bridging the Gap Between SAP and Hyperscale Data

Current Position – The Challenge

In the current business landscape, analytical inquiries often require combining of data from diverse sources. For organizations seeking to run machine learning experiments on hyperscaler platforms using their SAP business data, the traditional approach of replicating data introduces challenges such as data duplication, loss of data semantics, and a lack of real-time access.

Destination – The Outcome

Enter SAP Datasphere. By leveraging its data federation capabilities, organizations can seamlessly combine SAP business data with information stored in popular hyperscaler or SaaS offerings. The outcome is a comprehensive solution that provides real-time access to SAP S/4HANA data, robust security and governance features, and self-service analytical capabilities through SAP Analytics Cloud.

How You Get There – The Solution

The journey to this unified data environment involves understanding the concepts of data integration and federation with SAP Datasphere. Pilot steps guide users to the implementation details for different third-party data management services, providing a roadmap for organizations to integrate their SAP and hyperscale data seamlessly. Furthermore, a machine learning use case introduces data scientists to the open-source FedML Library, allowing them to federate data in real-time for ML experiments on hyperscaler platforms without the need for data duplication.

What is Datasphere?

SAP Datasphere enables a business data fabric architecture that uniquely harmonizes mission-critical data across the organization, unleashing business experts to make the most impactful decisions. It combines previously discrete capabilities into a unified service for data integration, cataloguing, semantic modelling, data warehousing, and virtualizing workloads across SAP and non-SAP data.

Features of SAP Datasphere

1. Data Modeling:

SAP Datasphere offers graphical low-code/no-code tools and powerful SQL and data flow editors for modeling, transformation, and replication. External data from the Data Marketplace, CSV uploads, and third-party sources can be seamlessly integrated.

2. Business Modeling:

Empowering business users, Datasphere provides graphical low-code/no-code tools for self-service modeling. Multi-dimensional modeling with powerful analytical capabilities and built-in data preview enhance the modeling experience.

3. Data Integration:

Connectivity is key, and Datasphere delivers by connecting to SAP and non-SAP cloud and on-premise sources. Whether federating, replicating, or transforming data, Datasphere ensures a smooth integration process.

4. Space Management:

Centrally create and provision spaces for secure modeling environments. Allocate disk and in-memory storage, set priorities, add users, and utilize monitoring tools to manage spaces effectively.

5. Administration:

Efficiently configure and manage the SAP Datasphere tenant, users, and connectivity. Ongoing monitoring and maintenance activities ensure the optimal performance of the tenant.

6. Data Protection and Privacy:

Security is paramount, and Datasphere provides multi-layered security configurations. Manage access on tenant, functional, and space levels, define row-level security, and enable auditing for read and change operations.

7. Data Governance:

Ensure the quality of data and analytic assets through the publication of trusted data, glossary terms, and key performance indicators in a catalog. This supports self-service discovery and encourages reuse.

8. Consumption:

Seamlessly integrate with SAP Analytics Cloud, Microsoft Excel, and public OData APIs to facilitate consumption by various clients, tools, and apps.

In conclusion, SAP Datasphere serves as a bridge between SAP’s business applications and hyperscale data, unlocking a world of possibilities for organizations seeking a unified, real-time, and secure data environment. As businesses continue to evolve, the ability to explore hyperscale data with SAP Datasphere positions organizations at the forefront of innovation and informed decision-making.

Watch this video on Datasphere

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Thank you.

Ramy Salem

Customer Success Manager @ SAP | SAP Analytics Cloud® Certified | SAP Analytics Cloud® Authorized Instructor

SAP Australia