SAP is offering new key data innovations and partnerships that give customers access to mission-critical data, enabling faster time to insights and better business decision-making.
SAP announced the SAP Datasphere solution, the next generation of its data management portfolio, which gives customers easy access to business-ready data across the data landscape.
SAP also introduced strategic partnerships with industry-leading data and AI companies – Collibra NV, Confluent Inc., Databricks Inc. and DataRobot Inc.—to enrich SAP Datasphere and allow organizations to create a unified data architecture that securely combines SAP software data and non-SAP data.
Accessing and using data located in disparate systems and locations—across cloud providers, data vendors, and on-premise systems—has been a complex challenge. 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, according to the company.
SAP Datasphere is the next generation of the SAP Data Warehouse Cloud solution. It enables data professionals to deliver scalable access to mission-critical business data. With a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation and data virtualization, SAP Datasphere enables data professionals to help distribute mission-critical business data—with business context and logic preserved—across their organization’s data landscape.
SAP Datasphere is built on SAP Business Technology Platform (SAP BTP), which includes strong enterprise security capabilities, such as database security, encryption and governance.
No additional steps or migrations are required for existing customers of SAP Data Warehouse Cloud, who will benefit from new SAP Datasphere functionality in their product environment.
New functionality includes data cataloging that automatically discovers, manages, and governs data; simplified data replication to deliver data and its constant updates in real-time; and enhanced data modeling that preserves the rich business context of data in SAP applications. Additional application integration capabilities that link data and metadata from cloud solutions from SAP to SAP Datasphere are planned.
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