Looking for an efficient method for storing large databases? This paper introduces a differential database representation technique designed to efficiently store large and volatile databases. By focusing on storing differences from a reference point, this technique offers advantages in terms of storage compaction and operational efficiency. The proposed method confines database modifications to a small physical storage area, enabling efficient storage of the reference point and localized modifications. This approach leads to significant operational advantages, including efficient storage and faster backup and recovery processes. The confinement of database modifications to a small storage area facilitates efficient backup and recovery procedures. This research offers a practical solution for managing large and dynamic databases, providing valuable insights for database administrators and system designers. The localized modifications and static reference point significantly improve the efficiency of backup and recovery processes.
Published in ACM Transactions on Database Systems, this paper aligns with the journal's focus on database management and information systems. The proposed differential database representation contributes to the journal's scope in data storage and manipulation techniques, particularly relevant for managing large and volatile databases. Its emphasis on efficiency and operational advantages is significant for the database systems community.