The difference between data backup and data archiving
The earliest data archiving applications were created in a mainframe environment, and the IT applications that originated from the mainframe environment at the time were large and relatively mature. Therefore, regarding the difference between archiving and backup, the larger domestic industry and enterprise users are better understand, but for enterprises with a short history of IT applications, small scale, and limited data volume, the difference between the two may not be so clear.
The basic storage applications mainly include data backup and data archiving. The purpose of archiving is to achieve historical, scientific, and long-term preservation of historical data and information for use by company decision-making, supervision by superiors or third-party agencies. Backups are just the opposite. The purpose is to use the data immediately to ensure business continuity, or to recover in the shortest time when the business is interrupted.
In recent years, some major corporate fraud cases have occurred in Western countries, which has made the government and the whole society put forward more stringent requirements for the preservation of enterprise data, thus increasing the status of data archiving to the survival of enterprises and social stability. the height of. In addition, early computers mainly deal with text data, but now they have to deal with a large amount of multimedia data. The requirements for storage capacity and speed have undergone fundamental changes, and enterprises are investing more and more in the preservation and utilization of data. And archiving is an important means for enterprises to effectively manage application data and reduce costs.
Therefore, from today's data archiving applications, it is mainly to solve the problem of both the compliance of enterprise data preservation and the effective management of enterprise data assets.
Although data archiving and backup are both storage applications, there are big differences in technology implementation. In the early days of IT applications, disk arrays were not as developed as they are today, and tape libraries were the primary backup technology. Nowadays, hard drives are getting cheaper and cheaper. Not only is the use of tape in backups reduced, but it has even been proposed to use disk arrays for archiving to completely replace the tape library. However, due to the technical characteristics of the disk array, the data stored therein is in a hot state.
That is to say, the disk storage system used for data archiving should not be shut down, and the process of re-powering it is complicated. Today, in the promotion of "green computing", long-term startup is not conducive to the reduction of energy consumption. Moreover, the frequency of use for decades and hundreds of years is not necessarily high, and the cost-effectiveness of disk and tape is even more disparate. Therefore, for data archiving, the tape library is still the best alternative.
Optical disc storage is also considered a means of data archiving, characterized by low prices, low technical content, and ease of distribution on a large scale. However, its capacity cannot be compared to tape and disk, and the applications it supports are limited, so it is not suitable for data archiving applications at the enterprise data center level.
We have all seen that the concept of applying ILM (InformaTIon Lifecycle Management) in data archiving has been gradually accepted by users, which not only helps enterprises improve the management of their data assets as a whole, but also achieves the lowest cost. Effective management and efficient use of large amounts of data. And with the maturity and reality of the application, we find that data encryption, identity authentication, virtualization and other technologies are gradually entering the application of data archiving, and effectively improve the efficiency of data archiving applications and enhance data security. The complexity and cost of operation are greatly reduced.
The application of ILM enables us to better integrate the various aspects of operability, security, cost and production efficiency when considering existing data application requirements, and to construct the data archiving protection infrastructure more rationally and systematically.
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