What are the differences between SAP BW/4HANA and a traditional data warehouse?
A few weeks ago, SAP announced BW/4HANA. Many questions have emerged since this announcement. One of the major questions asked by many people in the IT industry is... how is SAP BW/4HANA difference from a traditional data warehouse?
Traditional data warehouses rely on a extract-transform-load model to centralize data before analysis. This results in expensive data movement and duplication, and introduces latency that means real-time analytics are impossible.
SAP BW/4HANA enables a more flexible, real-time approach. As SAP HANA has proven, in-memory performance means that operational analytics can move back into the application, SAP S/4HANA is built around this, thus workload is moving from traditional data warehouses to SAP S/4HANA already. In addition, the vast amounts of data in data lakes and the Internet of Things will overwhelm a “centralize and duplicate” approach, so SAP BW/4HANA is designed to leverage smart data streaming (IoT), and smart data integration (to deliver a logical data warehouse approach).
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