SAP Releases SAP BW/4HANA 2.0
With version 2.0, SAP BW/4HANA continues to deliver on SAP's vision for a modern packaged data warehousing solution. This vision encompasses simplifying every aspect of data warehousing, capitalizing on all business applications and modern data sources via smart integration, and driving innovation with a unified data platform. The new version 2.0 improves the efficiency of administrative tasks, facilitates integrating with SAP lines of business applications in the cloud, and enhances data harmonization capabilities thanks to a tighter integration with SAP Data Hub. Version 2.0 pushes standard maintenance and support for SAP BW/4HANA to go at least until 2024 with follow-on releases to keep pushing beyond this date in the future. It demonstrates SAP's commitment to continue delivering innovations to more than 16,000 customers running SAP BW or SAP BW/4HANA deployed on-premise or hosted in the cloud, and to enable SAP S/4HANA customers to become intelligent enterprises.
SAP BW/4HANA 2.0 is...
SAP's vision for a modern packaged data warehousing solution
Highly optimized for SAP HANA
Simplifying every aspect of data warehousing
Capitalizing on all business applications and modern data sources via smart integration
Driving innovation with a unified data platform
SAP BW/4HANA Design Principles:
High Performance: Leverage huge amounts of data in real time for competitive advantage.
Openness: Work with HANA in BW mode, or in native SQL mode, or both.
Simplicity: Get up and running sooner and keep running at lower cost.
Modern Interface: Simplify access for everyone, not just database experts.
Conversion: Convert models, flows, and data from SAP BW to SAP BW/4HANA.
Key Capabilities of SAP BW/HANA
Simplified modelling and administration - Speed up change requests and reduce implementation time, while reducing development spend with simplified modelling and administration features.
Integration with SAP and non-SAP applications - Connect to SAP and non-SAP applications and data sources to reduce costs for data integration; extract, transform, and load processes; and on premise infrastructure.
Improved user experience - Increase user productivity and reduce shadow analytics, while increasing user adoption thanks to an intuitive user experience and a modern interface.
High-volume, real-time data processing - Reduce wait time for data handling and enable intelligent automation, with high-volume data processing in real time.
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