Data Recovery

Data Recovery is the process of salvaging data from a media, when this data can no longer be accessed normally, due to a physical damage of the storage media or problem with the file system (logical damage).

The storage that we need to recover data from, can be any data storage like, CDs, DVDs, hard drives, magnetic disks, memory cards, tapes, etc.

One of the common causes for damaged data is physical damage to the data storage. We have all seen scratched CDs and DVDs and know that this usually makes the whole media or at least part of it unusable. Hard drive failures are fairly common too, especially if the hard drive is a few years old. Data Recovery from physical damaged media is not easy task and usually requires help from data recovery specialist.

Another cause for data damage, which requires data recovery, is the logical damage of the file system. The most common causes for logical damage to the file system are power failure and operating system crashes. If any of these happen, itís possible that the data stored on the media, might not be left in consistent state. This can lead to many problems like actual data loss (some of your personal data files are corrupted for example), and problems with the operating system stability.

Both Linux and Windows operating systems offer software utilities for repairing logically damaged file systems. Linux offers fsck utility, while Windows offers chkdsk.

You cannot always prevent data damage, which will require data recovery, but you can do several things to minimize the risks and the consequences of data loss. Itís always a good idea to have recent backups of all your important files. You can use RAID (Redundant Array of Independent Disks), which is a system of using multiple hard drives for replicating data. You can buy UPS (Uninterruptible Power Supply), to protect you from power failures.

If you experience data loss and need data recovery always consult data recovery specialist. This can save you money and time, and most importantly can save your data.

SQL Tutorial