What is data deduplication ratio?

What is data deduplication ratio?

A data deduplication ratio is the measurement of data’s original size versus the data’s size after removing redundancy. It is calculated by dividing the total capacity of backed up data before removing duplicates by the actual capacity used after the backup is complete.

What is data deduplication and how does it work?

Data deduplication is a process that eliminates excessive copies of data and significantly decreases storage capacity requirements. Deduplication can be run as an inline process as the data is being written into the storage system and/or as a background process to eliminate duplicates after the data is written to disk.

How does deduplication work in storage?

Deduplication works by creating a data fingerprint for each object that is written to the storage array. As new data is written to the array, if there are matching fingerprints, additional data copies beyond the first are saved as tiny pointers.

Is data deduplication safe?

Deduplication is safe when you have two deduplication destinations and replications / and tape out or rehydration location. Best example is using EMC ddboost for storage and backup software to manage backup sets.

Why is data deduplication useful?

Why is Data Deduplication useful? Data Deduplication helps storage administrators reduce costs that are associated with duplicated data. Large datasets often have a lot of duplication, which increases the costs of storing the data. User file shares may have many copies of the same or similar files.

What is the difference between deduplication and compression?

Deduplication removes redundant data blocks, whereas compression removes additional redundant data within each data block. These techniques work together to reduce the amount of space required to store the data.

How does data deduplication work in Microsoft Office?

Place chunks in the chunk store and optionally compress. Replace the original file stream of now optimized files with a reparse point to the chunk store. When optimized files are read, the file system sends the files with a reparse point to the Data Deduplication file system filter (Dedup.sys).

Which is an example of a data deduplication breakthrough?

Early breakthroughs in data deduplication were designed for the challenge of the time: reducing storage capacity required and bringing more reliability to data backup to servers and tape. One example is Quantum’s use of file-based or fixed-block-based storage which focused on reducing storage costs.

How does data deduplication optimize writes to the disk?

Optimization should not get in the way of writes to the disk Data Deduplication optimizes data by using a post-processing model. All data is written unoptimized to the disk and then optimized later by Data Deduplication.

How does data deduplication work in garbage collection?

The optimization process that Data Deduplication uses is described in detail in How does Data Deduplication work?. The Garbage Collection job reclaims disk space by removing unnecessary chunks that are no longer being referenced by files that have been recently modified or deleted.