What is data deduplication?
Deduplication, also called data deduplication, is a process in information technology that identifies redundant data (duplicate detection) and eliminates it before it is written to a non-volatile disk. The process, like other methods, also compresses the amount of data sent from a sender to a receiver. It is nearly impossible to predict the efficiency of using deduplication algorithms since it always depends on the data structure and the rate of change. Deduplication can be a very efficient way to reduce amounts of data that allow pattern recognition. The primary field of application for deduplication is backup for the time being, which usually achieves greater data compression in practice than with other methods. The method is suitable for any application in which data is copied repeatedly.
Methods of deduplication
There are two ways to create a file blueprint. In “reverse referencing”, the first common element is stored, all other identical ones are given a reference to the first one. “Forward Referencing” always stores the last common data block that has occurred and references the previously occurred elements. This method dispute is about whether data can be processed faster or restored faster. Other approaches, such as “inband” and “outband”, compete to see if the data stream is analyzed on the fly, or only after it has been stored at the destination. In the first case, only one data stream may exist, in the second case the data can be examined in parallel by means of several data streams.
Data Deduplication: Effectively reduce data
The coping with the immensely increasing amounts of available data will only be possible through reduction – and the avoidance of redundancies, i.e. repetitions, is the royal road to successful data reduction. Here, in addition to a simple search for duplicate files, the data deduplicate at the block level and can lead to an effect of the immensely increased amounts of data on the shares and in the backups. Technically, Data Deduplication works by breaking a file into very small blocks. Then, deduplication attempts to find identical patterns in existing blocks. If these are available, the entire file no longer has to be stored and transferred. Instead, only a so-called pointer is created which points to the blocks already stored. Not only does it conserve disk space, but the significant reduction in the amount of data consumes much less bandwidth when transferring data – which in turn speeds up data transfers over WAN or VPN connections to remote sites or to the popular cloud.
As almost always in IT, it is only a question of the right tools, i.e. software and the corresponding initial setup – after the basic understanding – after that, you should not worry about Data Deduplication anymore.
Most organizations use a software-based backup and recovery program because recovering the lost data is of paramount importance in the event of a system crash or other disaster. Storing an ever-increasing amount of data becomes a challenge for organizations, especially considering that backup tasks have to be completed on time for security reasons. Target Deduplication software is designed to address the problem of copying data on expensive hard drives. This made the backup on hard drives more competitive compared to data tapes. The key to success was that users could use the technology without changes to the existing backup software.
Target Deduplication software originally attempted to solve a backup issue. Many software products provide source-based deduplication. These deduplicate backup data before leaving the source. Deduplication at the source has the added benefit of speeding backups. After all, less data needs to be transferred from each server to be backed up. The fewer data to transfer, the less pressure is placed on the backup window.
How does Dedupe Software work?
The source deduplication software typically runs on backup or application servers, such as relational databases. This reduces the amount of data transferred to the destination storage. The deduplication target then performs global deduplication. The equivalent backup performance is measured in TBytes per hour. They’re rated based on the amount of data stored per hour times the deduplication ratio. It is not a pure throughput. It is a number based on a non-comparable indication. The software deduplicates the block-level backups and ensures that only unique blocks are placed in the repository. All backups are deduplicated across the entire repository, no matter how many backups are made, all blocks are matched against the blocks at the repository.
Benefits of Dedupe Software
Accelerate Backup and Recovery: Data deduplication software significantly reduces backup time by storing only unique daily changes while providing full daily backups for immediate, one-step recovery.
Optimized Bandwidth: For deduplicated backups, only the changed blocks are sent, which reduces network traffic. Existing LAN and WAN bandwidth are used for enterprise-wide and remote site/branch backups and rebuilds.
Recovery in one step: Every backup is a complete backup. This makes it easy to run recoveries in just one step by simply browsing, selecting, and clicking.
High Reliability: The software offers redundant power supplies and networks, RAID and patented RAIN technology for uninterrupted data availability. Daily audits of the data systems can provide recoverability on demand.
Flexible Deployment: Software systems are scalable to a deduplicated capacity and can be deployed in an integrated solution with EMC Data Domain systems for high-speed backup and recovery of specific types of data.
The method of determining segment size is a critical factor in eliminating redundant data at the sub-file level. Some solutions available on the market use fixed-length segments for deduplication.
With this approach, even a small change to a dataset can cause all subsequent fixed-length segments in a dataset to change. Although only a very small portion of the data was actually changed, the entire file is considered new and must, therefore, be backed up again. The dedupe software solves this problem by using the data. Data segments of variable length are examined for logical limit points significantly reducing the amount of data sent and stored, while reducing backup bottlenecks and reducing backup times.