Chongwei Chen is his chairman and chief executive DatanumenA global data recovery leader with solutions entrusted by Fortune 500 companies worldwide.
As a 24 -year data recovery expert, I have seen countless examples of companies facing catastrophic consequences when experiencing data loss.
Take, for example, a medium -sized production company I worked with, which could not have access to the production database due to failure. Although they had regular backups, the last backup file was also damaged. Because of these issues, they had to stop production for several weeks, causing losses of about $ 1.2 million.
Unfortunately, the experience of this company is not unique. A 2022 Arcserve study found that 76% of businesses Lost data of the critical company. Verizon survey supports this, concluding that small cases of data loss costs Between $ 18,000 to 36,000 $While large -scale events can cost up to $ 15.6 million. The bets are so high that, according to the University of Texas, 94% of companies Destruction data does not survive – 43% never open and 51% end within two years.
Given these dangers, understanding the way the data recovery is critical. Let’s look at the common storage methods and recovery techniques that organizations need to familiarize.
Data Storage Methods
In modern computers, the data is generally stored as files that manage a file system. Companies usually use two types of infrastructure to store data:
• On-premises: This includes traditional hard drives, USB flash drives, SD cards, CD, DVD, etc.
• Cloud: Today, Over 60% of all corporate data It is stored in the cloud, according to the G2 Research, which includes Google Drive, the Amazon S3 Storage, Microsoft OneDrive and so on.
While human error is the main cause of data loss, Other causes Include material failure, theft, software corruption, viruses, natural disasters and the failure of electricity.
Data recovery sorts
Data recovery is closely linked to storage methods used to maintain data and recovery techniques can generally be classified into these two categories:
1. Recovery at hardware level (physics)
This method is oriented to material failures on storage devices and focuses on using the most advanced hardware technologies for:
• Replace damaged interfaces, circuit boards or write heads.
• Use specialized devices or environments to export data.
2. Software level (logic) recovery
This recovery method uses an advanced software algorithm. There are two subcategories:
• Recovery of raw level: They are generally developed when the destination files are lost due to problems such as random deletion or disk reign by mistake, data recovery software sweeps the raw disc or disk and recover the files. In general, this software will support many file types.
• Recovery at file level: This method is used when there are destination files, but they cannot be opened by the necessary application due to file corruption. Normally, for each file format, there will be a special tool from the file designer to check the integrity of the file and correct errors in it. For example, for a PST Outlook file, Microsoft provides an inbox repair tool (Scanpst.exe) that can scan and correct errors in the PST file. For a SQL Server database file, a SQL -DBCC checkdb command – can check the integrity of a database and correct it if necessary.
Because they are often necessary many techniques
The two sorts above are not absolute. In real practice, multiple techniques may be required.
For example, consider a situation where a criminal deleted a database containing financial data from a hard drive and then used software to replace the entire hard drive. Start using a material method to recover most of the raw data from the drive. Then apply first -level recovery software to scan and export the database file. If the recovered file is still not recognized by the SQL Server, use the DBCC checkdb command to attempt a repair, hoping that most of the financial files are recovered from the database.
These techniques can also be very flexible and techniques in one category can often be applied to another category to achieve better recovery results or reduce costs.
For example, some file recovery software can also retrieve data from the hard drive directly if there are no files available, which will normally provide a better recovery rate than using a second first level recovery tool and then a second file recovery tool. Some raw level recovery software can also retrieve hardware problems, such as bad areas, which will reduce costs, as this method does not require specialized hardware devices.
Conclusion
Data loss is often inevitable, but it does not need to be a disaster if organizations are familiar with proper design and techniques. In order to minimize the impact of data loss and ensure a rapid recovery, organizations should follow some basic best practices:
• Prevention is the most important. Design a comprehensive business continuity plan, including a regular strategic backup and an incident response plan. Strictly apply this plan.
• Act quickly after a disaster. As soon as you know there was a loss of data, answer quickly, ideally within 48 hours of the incident.
• Get professional help. For complex cases, seek professional assistance from data experts. They have probably seen the issues you face before and can help plan the best recovery strategy.
• Apply review after recovery. After the incident, update the continuity and backup strategy based on the findings to reduce the likelihood of future incidents.
With these optimal practices and responding strategically, companies can often turn a data loss incident from a crisis into a manageable challenge.
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