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SAP debuts Datasphere, its next-gen cloud data platform

Staff Writer
By Staff Writer, ITWeb
Johannesburg, 09 Mar 2023
Juergen Mueller, CTO and executive board member, SAP.
Juergen Mueller, CTO and executive board member, SAP.

SAP, the enterprise software giant, has launched SAP Datasphere, the next generation of its cloud data warehouse.

Like the earlier SAP Cloud Data Warehouse service, Datasphere is built on the SAP Business Technology Platform (BTP), which provides underlying capabilities such as database security, encryption and governance.

SAP says Datasphere is designed to eliminate the complexity of accessing and using data located in different systems and locations, whether in cloud providers, data vendors, or on-premise systems. 

The company has also announced strategic partnerships with four data analytics and AI firms  Collibra, Confluent, Databricks, and DataRobot – to enable organisations to create a unified data architecture that securely combines SAP software data and non-SAP data. 

Juergen Mueller, CTO and SAP SE executive board member, said the comoany wants to help its customers "to easily and confidently integrate SAP data with non-SAP data from third-party applications and platforms."

SAP said until now, customers have had to extract data from original sources and export it to a central location, losing critical business context along the way and recapturing it only through ongoing, dedicated IT projects and manual effort.

SAP Datasphere helps eliminate this hidden data tax, enabling customers to build a business data fabric architecture “that quickly delivers meaningful data with business context and logic intact.”

SAP said its new open-data platforms will help users make informed business-critical decisions “rooted in massive amounts of data”.

The company added: “With a unified experience for data integration, data cataloguing, semantic modelling, data warehousing, data federation and data virtualisation, SAP Datasphere enables data professionals to help distribute mission-critical business data  with business context and logic preserved  across their organisation’s data landscape.”

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