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Data center migration: data center to be concentrated area of information processing, produce huge amounts of data every day, and these data not only takes up a lot of storage space, also affect the application of computational efficiency.

In fact, most of them are useless data in the data, garbage data or intermediate data calculation, data center saved these data and no benefits, there are some of the timeliness of data, outdated data, make the data in the data center storage devices in the sleeping, as clean out, saving storage space, so can greatly save cost of data center to improve production efficiency of data centers.
How to destroy useless data, there is also a lot of knowledge here.
First, data quality is far more important than the amount of data, data center in order to increasing data and the practice of continuous investment in hardware and software, was a costly mistake, should pay attention to the effective data processing.
On the surface, the amount of data data center growth is very rapid, global data volume is growing at 58% a year, less than two years has doubled, the speed will be faster in the future, most of these data are generated in the data center.
Our data center is not possible to double the capacity expansion and every two years, so let the data volume growth, data center will soon fall in continuous expansion of the cycle, the result data center size bigger and bigger, and data center operations are not substantial growth, profit decline in data center.
It's like being a fat man, always eating Fried chicken cokes, getting fatter and fatter, but actually the body's physical fitness is falling, and in the end, you can't do anything but proud flesh.
Data cuts cannot be the burden of data centers, which should be cleaned when cleaned and destroyed when destroyed.
Second, we need to destroy the data, and figure out which data is useful and which data is useless.
This is about to start from the data source, the incremental data in the data center, to classify the data, compile, store into the classification of storage space, for specific tag name of the data at the same time, through the name of the data is known about the content, so that as judgment criterion of the data is useless, if you are not clear when data records, then the later data destruction will not be able to do precise, not only inefficient, destroy data will likely also useful data destruction by mistake.
Management of these data is very complex, involves data identification, cleaning, optimization, and so on, and the work it is cyclical, takes time and a certain human resources, and will not bring significant profits, is often overlooked.
In fact, the effective storage of data will generate long-term and positive benefits to the business of the data center, and the earlier the benefit becomes obvious.
Third, the destruction of the data is not simply the removal of the deletion. The data destruction is also standard to follow.
DOD's DOD 5220.22-m standard is the most widely used set of regulations, with many people using the DOD 5220.22-m as the standard for data clearance and destruction.
There are several methods of destruction, which are related to the effect of destruction.
General destruction is divided into soft destruction and hard destroy two kinds.
Soft destruction is data destruction or data erasure by data coverage and other software methods.
Hard disk data destruction is destroyed by means of physical and chemical methods to destroy the storage medium directly to achieve the purpose of complete hard disk data destruction.
Soft destroyed generally will be destroyed, the data file is not the real disk area will wipe out data, operating system, due to considering the operators operating habits or wrong operation, data after the destruction of all kinds of situation very much, and many other factors, the delete command users use, just put the file directory entry do a delete tags, put them in the file allocation table occupied cluster cluster marked as empty, not to make any change data area is not do any of these information data erasure, data destruction operation, actually still occupy storage space, such data did not achieve the goal of saving storage space.
So data center data destruction is hard to destroy, the storage space is actually released to store more meaningful data.
Hard to destroy common methods: format hard disk, hard disk partition, file shredding software.
Format is only for the operating system to create a new empty file index, all sectors is marked as "not used" state, data disposal data erasure that the operating system don't think the hard disk file, therefore, if the use of data recovery tools software can recover after formatting data in a data area, the formatting is advanced formatting, low-level formatting, quick format and partition formatted several.
The destruction of low-level formatting is the most thorough, and it is difficult to recover the destroyed data through the software, and the storage space of the hard disk is fully released.
Hard disk partition ways of destroying data, only changed the hard disk master boot record and system boot sector, most of the data area and has not been modified, not achieve the goal of data disposal data erasure.
Crushing software is specially used to delete file to achieve data disposal data erasure, there have been many on the net, some anti-virus software also increased the function of data disposal data erasure, private data can be used to handle general, but cannot be used to handle with the classification of the data.
The above method can destroy the data, but it is not safe enough, or it can be recovered by the malicious people and get the data to do wrong.
Still have a kind of hard to destroy is using special degaussing hard drives or bending machine to thorough destruction of the data, either directly to demagnetization of hard disk, or bending of hard disk are destructive behavior, the hard disk will be damaged, not only can't restore data, hard disk cannot be used again, this kind of hard to destroy is often used to handle has failed hard drive, avoid faults in the hard disk to save the data to be bad reduction, holds the data to do bad things.