Which feature allows for efficient management of multiple datasets within a single storage system?

Data deduplication is a feature that significantly enhances the efficiency of managing multiple datasets within a single storage system. It works by identifying and eliminating duplicate copies of repeating data that exist across various datasets. This not only saves storage space but also improves the performance of data management processes.

In practical terms, when multiple files contain identical data, deduplication ensures that only one copy of that data is stored, while references are maintained for the files that require access to it. This leads to reduced storage costs, faster backup processes, and improved data management, allowing administrators to handle large quantities of information more effectively.

While data replication, encryption, and compression are important features for data management, they do not specifically focus on the reduction and efficient handling of redundant datasets. Replication is concerned with creating copies of data for availability and disaster recovery, encryption aims to protect data confidentiality, and compression reduces the size of data files but does not prevent duplication across datasets. Thus, deduplication stands out as the most relevant feature for efficiently managing multiple datasets on a single storage system.