Bi-temporal databases revolutionize data management, enabling seamless schema evolution.
The article compares techniques for updating databases over time. One technique keeps only the latest version of the database after changes, while the other creates new versions and converts data while keeping old versions. Bi-temporal databases can be used for this purpose. The researchers looked at two conversion approaches and proposed a new one to address issues in bi-temporal databases.