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Data center migration -- data center is the concentrated place of information processing, and generates massive data everyday. These data not only occupy a lot of storage device space, but also affect the computation efficiency of application. In fact, these data are mostly useless data, garbage data or computing intermediate data, data center retention benefits of these data have some timeliness data, stale data, make the data storage devices in the data center to sleep, not to clear out, save storage space, which can greatly save the data the center of the operating expenses, improve the production efficiency of the data center. How to destroy the useless data, there is also a lot of knowledge.

First of all, the quality of data is far more important than the quantity of data. Data center's continuous investment in software and hardware for increasing data is really a costly mistake, and we must pay attention to the effective data processing. On the surface, the total data volume of data center is increasing very fast. The global data volume is increasing at a rate of 58% per year. It will double in less than two years, and the speed will be faster in the future. Most of the data will be generated in data center. Our data center is not possible every two years expansion doubled the capacity, so let the data rate, the data center will soon fall into the continuous expansion of the cycle, the data center is larger and larger, and the data center business and there is no real growth, profit decline in the level of data center. It's like a fat man who always eats fried chicken cola and will get fatter and fatter. But in fact, the body's physical fitness is decreasing. At last, nothing can be done except a fleshy meat. The data must not be the burden of the data center. It will be cleaned up when it is cleaned up, and it will be destroyed when it is destroyed.
Second, we want to destroy the data, it is necessary to distinguish which data is useful and which data are useless. This is from the data source to start the incremental data generated in the data center, the data classification, filing, storage space classification to at the same time, these data are clearly marked by name, the name to know the data about the content, so that as the criterion whether the data is useless if, in the data record is not clear, then the data destruction could not be accurate, not only the data destruction efficiency is low, may also be useful to destroy data error. Managing these data is very complicated, involving data identification, cleanup, optimization and so on. These works are cyclical, take time and human resources, and will not bring obvious benefits, which are often ignored. In fact, the effective storage of data will produce long-term and positive returns to the business of the data center, and the earlier the profit is more obvious.