How does SAP HANA Cloud improve business data processing?

The primary innovation of SAP HANA Cloud is its in-memory computing engine, which stores data in RAM rather than on traditional spinning disks. This architecture allows for the processing of vast amounts of data at speeds that are orders of magnitude faster than legacy databases. For the SAP Business Suite, this means that the boundary between "doing the work" (transactions) and "analyzing the work" (analytics) disappears. Users can run complex, multi-dimensional analytical queries on live, "hot" data without the need for time-consuming data extracts or batch processing.

By enabling real-time analytics, SAP HANA Cloud empowers business leaders to make decisions based on what is happening now, rather than what happened last week. It also introduces "data tiering," which allows organizations to manage costs by keeping frequently accessed data in-memory while moving less critical data to cheaper "warm" or "cold" storage (Data Lake), all while keeping it accessible through a single interface. This flexibility is essential for modern enterprises that deal with "Big Data" but require the agility of the cloud. Positioning HANA Cloud as the data foundation of BTP ensures that every application built on the platform is inherently fast, scalable, and capable of delivering instant insights.

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