Data deduplication is a process that eliminates duplicate copies of data within a dataset, reducing storage capacity requirements and improving data management efficiency. It works by comparing data blocks and identifying identical blocks that can be replaced with a single copy of the block. The process typically involves three stages: inline deduplication (during backup), post-processing deduplication (after backup), or hybrid deduplication (a combination of both).