Data temperature refers to the frequency of access to data stored in space types managed by Teradata Virtual Storage (TVS). Data is considered hot, warm, or cold.
Data temperature is not static, but evolves over time, based on data-access patterns tracked by TVS. Data temperature increases the more often it is accessed, and decreases as access becomes less frequent.