In the duplicate detection step, the hashes generated in the previous step are compared to identify duplicate chunks. This is done by:

1. _Hash comparison_: The hash values of each chunk are compared to the hash values of other chunks.

2. _Match detection_: If two or more chunks have the same hash value, it means they are identical, and a duplicate has been detected.

This process is incredibly efficient, as it allows for:

1. _Fast identification_: Duplicates are identified quickly, without needing to compare the actual chunk data.

2. _Accurate detection_: The likelihood of false positives (incorrectly identifying duplicates) is extremely low, thanks to the unique properties of SHA-256 hashes.

Once duplicates are detected, the system can:

1. _Remove duplicates_: Store only a single copy of the chunk, reducing storage requirements.

2. _Create a reference_: Create a reference to the existing chunk, instead of storing a duplicate copy.

This process saves storage space, reduces data redundancy, and improves data efficiency!