Description: Hot Data refers to data that is frequently accessed or updated, typically stored in fast storage media. This data is critical for the daily operations of an organization, as it enables real-time decision-making and immediate analysis. The dynamic nature of hot data implies that its storage and management must be efficient, utilizing technologies that facilitate quick access and high availability. Generally, it is stored in memory-optimized databases or storage systems designed for quick data retrieval and writing. Hot data is often contrasted with ‘cold data’, which is less accessible and used for long-term analysis. The ability to handle hot data is essential in environments where speed and agility are paramount, such as e-commerce, real-time analytics, and business intelligence. In this context, various tools and platforms can be used to efficiently query and analyze this data, while backup and recovery strategies ensure that critical information is always available and protected.
