What classification system does SAP HANA use to evaluate the usefulness of data?

SAP HANA employs a classification system based on temperatures to evaluate the usefulness of data. This system categorizes data into three temperature levels: hot, warm, and cold.

Hot data refers to the most frequently accessed and used data, which requires quick access times and is stored in-memory for optimal performance. Warm data is accessed less frequently and can be stored in a more cost-effective manner, while cold data is rarely accessed and can be archived or placed on slower, less expensive storage.

This temperature classification allows organizations to manage their data more efficiently, ensuring that the most critical information is readily available while optimizing costs related to storage and performance. This approach is essential for organizations aiming to leverage their data strategically while ensuring that system performance and operational costs are balanced effectively.