How Does Data Duplication Work?
- Inline and post-processing duplication are the two main types of duplication techniques. They are designed for various backup situations.
- Data in a backup system is analyzed via inline duplication. Redundancies are detected and eliminated during the process of writing data to the backup store. When performing high-performance main storage activities, it is advised to disable data duplication technologies since this might lead to a bottleneck and need less backup storage.
- After data is written to storage, redundant data is eliminated using post-processing duplication. A pointer to the data block’s first iteration is used to replace any duplicate data that has been found and eliminated. Users may rapidly recover the most recent backup and deduplicate certain workloads using the post-processing method.
- More storage space is needed for post-processing duplication than for inline duplication.
What is Data Duplication?
Data duplication is a computational technique that removes multiple copies of data that repeat. If the method is successfully used, storage utilization may be increased, which might save capital cost because less storage media would be needed overall to fulfill storage capacity requirements.