Atharv Gyan

Temporal databases in Relational Database Management Systems (RDBMS) refer to databases that are capable of managing and manipulating time-varying data, allowing users to store, query, and analyze information with respect to time. These databases enable the storage of historical data and the tracking of changes over time, providing a comprehensive view of data evolution and temporal trends. The concept of temporal databases is particularly relevant in applications where time-sensitive data management is critical, such as financial systems, historical record keeping, and trend analysis. Temporal databases typically deal with two types of time: valid time and transaction time. Valid time refers to the period during which a fact is considered valid in the real world, while transaction time refers to the period during which a fact is stored in the database. By distinguishing between these two types of time, temporal databases can accurately represent the temporal aspects of data and suppor