For a long time, people have not paid enough attention to the integrity and availability of data. It is believed that simply by doing data backup, data security is guaranteed. That's just the simplest idea. Data backup does not mean data disaster recovery, and having backup does not mean everything will be fine. Because the backed up data may also be damaged by other factors, such as earthquakes, fires, etc., these enterprises should improve their data disaster tolerance capabilities to further cope with the ability of data to resist potential unsafe factors.

In this way, some people will ask what is "disaster recovery"? In fact, it is simply to minimize and avoid data loss caused by disasters. Backup and recovery is the most important part of this "disaster recovery", providing disaster recovery and storage capabilities of data. In addition, there is also the ability to improve data availability and prevent the impact and loss of data stored in the system caused by natural disasters.

When it comes to disaster recovery, the first thing that comes to mind is data backup. What is the relationship between data backup and disaster recovery? For enterprises, what is the most important aspect of this relationship? The loss of key enterprise data will greatly affect business development and cause serious economic losses. However, many enterprises have not yet understood disaster recovery. They think that they can sit back and relax after simply establishing a backup system. In fact, the disaster recovery system is also an indispensable part, and its interrelationship can illustrate the importance of the disaster recovery system.

1. Backup is the foundation of disaster recovery

Data backup can be said to be the last line of defense for enterprise data availability, and its purpose is to quickly restore data in the event of a system crash. Although this is also a form of disaster tolerance, its capabilities are limited. Because today's traditional backup still uses internal and external data tape drives for cold backup, and the backup mechanism is also managed in the computer room. Once the computer room falls into a disaster, the data on the backup tape will also be destroyed, which cannot effectively protect data security.

2. Disaster recovery is not a simple data backup

Data backup is still the most basic form. Without data backup, any disaster recovery is meaningless. However, backup alone is not enough. The real data disaster recovery is to make up for the shortage of traditional backup and restore the entire system in time when a disaster occurs. Therefore, for IT, disaster recovery is to provide a computer information system that can prevent various disasters.

3. The real purpose of disaster recovery

It can be seen that after understanding the real purpose of disaster recovery, for enterprises, how to avoid problems in disaster recovery in data backup requires enterprises to clarify the true meaning of data disaster recovery and related methods. For an enterprise, data backup is only the beginning of the entire disaster recovery work. The purpose of backup is to effectively recover in the event of a system failure. However, for many enterprises, especially small and medium-sized enterprises, data backup is just a simple task, and the real meaning of disaster recovery planning has not been clarified, and data disaster recovery has not been put in the first place at all, so it will lead to disaster recovery. There was a problem with recovery.

1. Not clear the meaning of disaster recovery

Enterprises do not evaluate the effect of disaster recovery. They believe that they spend a lot of energy and financial resources on data backup. In the end, when a problem occurs, it is a simple coverage recovery, and they do not really feel the actual meaning of the effect. There is even a lack of fully documented recovery plans and measures.

2. Feasibility of disaster recovery plan

Many enterprises are figuring out the meaning of disaster recovery, but they are not planning effectively. As a result, many disaster recovery plans are only prepared under the condition of taking it for granted, without any simulation exercises, and lack of real feasibility. In the end, once a disaster occurs, it will not be able to achieve sufficient disaster tolerance, and there is no way to effectively restore data.

3. There is no configuration document available for disaster recovery

For large enterprises, there are professional IT talents in disaster recovery and backup, and there is no shortage of relevant experience and means. However, for some enterprises, especially small and medium-sized enterprises, there is no necessary archive of the current system configuration and related files. During disaster recovery, the corresponding original system configuration document cannot be found, which brings unnecessary difficulties to disaster recovery.

4. Improper storage of data files

The IT personnel of many enterprises usually simply store data storage media and configuration system documents, such as in cabinets and bookshelves, ignoring the storage conditions and safety precautions required for these data. Due to moisture deterioration and loss of configuration documents, enterprises suffer data losses.

5. No multiple backup methods

For disaster recovery backup, many enterprises only perform simple quarterly and annual backups for some data that need to be stored for a long time, especially some documents. Due to the long period of time, it is inevitable that data documents will be unusable due to moisture deterioration. At this time, enterprises do not have effective multiple backup strategies for such documents, resulting in data loss in the event of similar problems. Therefore, for such key backups that need to be stored for a long time, at least two backup applications can be stored in different places.

It can be seen that the problems that should be paid attention to in disaster recovery and recovery work are very critical. Only by effectively avoiding the occurrence of problems can enterprises be guaranteed in terms of future data security and further use core data to cope with market competition.