Understanding Data Deduplication

Data Deduplication is a technique used to reduce the required storage capacity by removing duplicate data. After all, if you have multiple copies of a single file, you really only need to keep a version of the file, right? Unfortunately, computers often resulting in redundant data without your knowledge. For example, say you have made a 100 megabyte PowerPoint presentation and emailed to ten of your colleagues. Your email program can archive all ten messages out with all ten samples of 100 megabytes presentation. This means that almost a full gigabyte of redundant data that you need. Freeing wasted space may not seem like a big deal to you, but think how much free space your entire organization generates.

With Deduplication, this redundant data can be eliminated because it is no longer necessary. One recent example is retained in the storage device, allowing for more efficient use of storage across your network. Are you worried about the cost or SQL server virtualization performance, reduce redundancy may play an important role.

To ensure that other systems were initially determined for duplicate data may call the original data, data deduplication creates a reference to the stored copies left. For example, if you see an archived copy of the email you sent earlier ten, each one pointing to salvaged 100 megabyte presentation and rather unnecessary, excessive copy.

Not only to restore the capacity of storage deduplication , saving your organization money. After all, if your hard disk array full of unnecessary data without your knowledge, you will find yourself buying more disk array. By using deduplication, you can squeeze more capacity from existing storage systems and delay overheads. In addition, deduplication reduces the data that must be supported, allowing for faster, more efficient backup. If you pay for your backup service on a per megabyte or gigabyte basis, data deduplication can cut the cost of your backup files well.

While deduplication plays a part, data deduplication also occurs at the level of block. Individual files are checked and processed with unique iterations of each block of the file labeled and stored in the index. Each time a file is changed, only the changed data blocks are stored. For example, if you edit the slides in your PowerPoint 100 megabyte file, only the affected blocks are stored – not the full 100 megabyte file. Blocking data deduplication requires more processing power than the file level data deduplication, but it was quite better. A lot of data deduplication solution developers use a mixture algorithm and analyze the metadata file to avoid the possibility of “false positives” can occur if the block receives the same identification number as deduplication block.

Data there is an effective way to reduce The storage requirements and associated costs. Often one of several data reduction techniques used together to optimize and reduce the cost of storage in enterprise storage or SQL server virtualization environment.