How does HANA improve processing speed?

The processing speed of HANA is significantly improved by distributing tasks across multiple CPUs. This parallel processing allows for greater efficiency, as multiple operations can be handled simultaneously rather than being executed sequentially. HANA is designed to take advantage of modern multi-core architectures, which enable it to perform complex calculations and queries much faster by utilizing all available CPU resources effectively.

Using multiple CPUs is crucial in handling large volumes of data and executing queries that demand high computational power. This approach not only speeds up processing times but also enhances overall performance and responsiveness of applications that rely on HANA for data processing.

While memory compression is relevant to HANA's ability to save space and improve data retrieval times, and minimizing storage requirements contributes to efficiency, these factors alone do not directly enhance processing speed like distributed task processing does. A single core for all tasks would likely lead to bottlenecks and slower performance, which is contrary to HANA's design philosophy.