Big Data era surge in the amount of data, data security and business continuity has become the lifeblood of business development and operations. But many companies still take the traditional disaster recovery mode, that is, the data, applications, back up only locally. "Do not put all your eggs in one basket", data disaster recovery as well. Take the traditional backup methods, once the local force majeure due to man-made disaster caused extensive regional data loss, data can not be retrieved, resulting in significant loss of business. Disaster recovery data security is the last line of defense, but you can avoid data center failure and loss of data caused by the data loss situation, the following article will Talking about "The difference between disaster recovery and backup," and some as much as possible to reduce the occurrence of run failure failed chance, and to strengthen environmental data backup a simple point of the enterprise.

What is a disaster? Big>


70 years of the last century is the origin of the disaster, 80-90 years is the rapid development of disaster recovery, 90 years to 2000 is the expansion of disaster recovery, from 2010 to business continuity requirements are higher age of the Internet, IT entered the era of the cloud, disaster recovery became a service. It refers to the disaster recovery system places far apart, establishing two or more sets of the same functionality IT systems with each other can health monitoring and switching functions, as a system due to accidental (such as fires, earthquakes, etc.) is stopped In operation, the entire application can switch to another, so that the system can continue to operate properly function. Disaster recovery technology is an integral part of the high-availability technology systems, disaster recovery systems more emphasis on handling the external environment of the system, in particular the impact of catastrophic events on the entire IT node, a node-level system recovery.

Disaster recovery classification Big data


The degree of protection systems to points from its disaster recovery system can be divided into: data disaster recovery and disaster recovery applications, data disaster recovery refers to the establishment of a remote data system, the system is a real-time replication of critical application data locally. Application disaster recovery data disaster recovery is based on the different places to establish a complete production system comparable to the local backup application (can be back up each other), in the event of a disaster, the remote system to quickly take over the business operations, data content disaster is to resist disaster protection, disaster recovery and application system construction is the goal of disaster recovery.

What is disaster recovery and backup associated with Big data


Disaster Recovery is actually two concepts of disaster recovery in the event of disaster in order to ensure the normal operation of information systems can help companies achieve the goal of business continuity, backup data in order to respond to the disaster caused by the temporary loss problems. Before the integration of disaster recovery products appear, disaster recovery systems and backup systems are independent. The ultimate goal of disaster recovery product is to help businesses deal with human error, "hard" disasters software errors, viruses, etc. *** "soft" disasters and hardware failures and natural disasters.

The difference between disaster recovery and backup Big data


In a general sense, refers to a backup data backup or system backup, disaster recovery refers not in the same room or application data backup system backup. Backup uses backup software technology, and disaster recovery by replicating or mirroring software, the fundamental difference is that: (1) major disaster for major natural disasters, fires, earthquakes, etc., and therefore between the center and the main backup center must guarantee a certain safe distance; backup data in the same data center. (2) disaster recovery system not only protects data, more important purpose is to ensure business continuity; and data backup system only to protect the security of data. Integrity (3) to ensure disaster recovery data; backup point can only recover the data backup time ago. (4) is an online disaster recovery process; backup is an offline process. (5) disaster recovery system, both real-time data is consistent; backup data has a certain degree of timeliness. Lower (6) failure, disaster recovery system switching time is several seconds to several minutes; backup system and the recovery time may be several hours to several tens of hours.

Disaster recovery grading Big data


(1) Data-level data-level disaster recovery is the most basic means, by establishing off-site disaster recovery center, do remote backup data after a disaster to ensure that the original data is not lost or destroyed, but the data this level grade disaster recovery, disaster application will be interrupted. Simply put this understanding into disaster recovery mode a remote data backup center, it is to establish a data backup system or a disaster recovery systems, such as databases, files, and so on.

Advantages: relatively low cost, relatively simple embodiment constructed disadvantage: recovery time is relatively long data level disaster recovery

(2) application-level application-level disaster recovery is based on the data level disaster recovery, a similar construct the same backup application site by synchronous or asynchronous replication, which can ensure that the key used in the time allowed resume operation, to minimize losses caused by disasters, allowing users to experience the basic occurred less than a disaster. Application-level disaster recovery backup system is to create an application, such as a set of OA system is running, set up a similar system in another place OA. Pros: the service provided is complete, reliable, secure, ensure business continuity drawbacks: high costs, the need to achieve more software (3) business-level business-level disaster recovery is a full-service disaster recovery, in addition to the necessary IT related technology, but also have all the required infrastructure. Advantages: disadvantages guarantee the continuity of the business: the high cost, the need to put in place cost, large difficult to implement.

Backup rating: Disaster Recovery in different places through the establishment and maintenance of a backup storage system, the use of geographical separation to ensure system and data resilience for catastrophic events. Disaster recovery system based on the degree of resistance to disasters can be divided into data disaster recovery and disaster recovery applications. Data Disaster Recovery refers to the establishment of a remote data system, the system is real-time replication of critical application data in the local system. When a disaster occurs, the remote system may quickly take over the local system and ensure business continuity. Application disaster recovery data disaster tolerance level higher than that in other places to establish a complete, comparable to the local data backup application (you can back up each other with local applications, but also to work with local applications).

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