Extremely large and ever growing databases lead to severe problems in storage, database administration, and performance. The integration of archives into database systems represents a new approach to relieve a database of rarely used data. Archive data is separated from the database logically and physically and can be placed on tertiary storage. Time-related aspects play an important role in the development of functionality and a suitable infrastructure for archiving. One of these aspects stems from schema changes in database or archive which should not affect already archived data. We show how the impact of these changes can be handled by archive schema versioning.
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