Analysis of data migration in cloud storage

Today, because of the soaring cost of data and the uneven level of technical managers, cloud storage has become an important initiative and direction for data storage in various institutions. As an important service in the cloud, cloud storage provides data storage and business access to various storage devices through application software through cluster application, grid technology, or Distributed file system. For data storage, there are many problems when we transition from a physical environment and a single array to a fully virtualized, highly dynamic storage environment. Data migration is the most basic and key step in adopting cloud storage scheme. It cleans, transforms and loads the historical data into the new system, which is an important link to ensure the smooth upgrade and update of the data system, and is also an effective guarantee for the stable operation of the system in the future. Play a pivotal role in the entire cloud storage scenario, we'll explore data migrations below.

Enterprise data to the cloud storage, the first thing to do is to clear the range of data transferred. Can not simply copy the server database into the Cloud data center, which will increase the time spent on data transfer, increase the operating costs of enterprises, at the same time, large data redundancy, garbage data will cause a lot of hidden dangers to the system, resulting in abnormal system work. It is recommended here that companies keep important core data in a traditional chimney-style architecture, and that they can be put into a cloud storage center for information that is not important like archiving, providing queries, and so on. In this way, organizations can effectively use the cloud storage on-demand operating mode, the original on the fixed data storage devices into the operational costs can be estimated, saving investment.

Second, the cloud's ability to connect to the network will be an important test of the data cloud migration operation. It is difficult to switch the petabytes of data between the enterprise and the Cloud Data center. Initial data migrations can last for a considerable period of time, depending on the size of the enterprise's data and the ability of the network to connect. Here, I recommend that organizations carefully review the network of the organization before doing data cloud migration and evaluate the security status of the internal network. While some cloud providers have proposed physical migration as a substitute for network transmission data, we need to see that, due to the nature of the work, some sensitive data, such as patient records, enterprise core data, can not be taken away by copying or physical migration. In view of this, here I recommend two methods: when the enterprise's data throughput is large but the data is not very large, and the transmission delay is not too much, the cloud provider can provide a private link from the enterprise to a storage node of the supplier to facilitate enterprise migration data. Enterprises can do data transfer arrangement according to their own time without affecting the normal operation of the company; when the enterprise's data can provide copies, then we can adopt sneakernet way, namely: Artificial network mode. Transfer data from the enterprise server to the Cloud data center or copy the meter from the cloud data center via disk, mobile storage device, etc. at present some cloud supplier will take some effective artificial network mode when transferring data to the enterprise in order to speed up the data transferring. For example, a company in the data transfer to customers will provide a dual-Gigabit Ethernet Interface Storage Server, when the customer's data copy completed, the company will take away the server and copy the data to the Cloud data center.

Furthermore, in order to effectively transfer the data warehouse to the cloud, we need to properly structure the data and use the correct data analysis tools and migration methods. At present, there are three kinds of data migration, namely: the system before switching through the tool migration, system switching before the use of manual input, system switching through the new system generation. Combined with the current situation of various institutions, we use the "system switch before the tool migration" approach mostly. The data in the traditional relational database should be transferred to the cloud. Non-relational database needs a lot of problems, one is to solve how to extract large amount of data from relational database to cloud file system and database quickly and efficiently, and the second is the problem of data conversion. Regardless of the method and strategy adopted, the data must be checked after the migration, and the integrality and consistency of the data should be examined.

Next, we should be concerned about the security of data cloud migration process, it is very important to develop a set of safe and effective data migration plan for data migration security management. Regardless of the security data transfer scheme used by the enterprise, attention must be paid to data loss and backup. For sensitive data, many cloud supplies are lacking in long-term processing experience. Moreover, the way data is used in cloud services is shared storage, which makes security policies that are easy to implement in traditional chimney architectures to be risky in a cloud environment. It is recommended here that enterprises should carefully assess the choice of cloud storage service providers, carefully review the security protection measures and standards adopted by the cloud vendors, and propose appropriate adjustments and modifications in the light of their actual situation. In addition, the data backup work is essential. You should also test the backed-up data to make sure that the data that is backed up when something unusual happens is available. While some cloud vendors will do this, we recommend that companies make their own backups, and that businesses can take advantage of the backup or data export capabilities provided by the cloud vendor. Regardless of where the backup is, we must ensure that it is tightly protected during data transfer. It also requires the cloud provider to provide monitoring capabilities, monitor the people accessing the data, and encrypt the core data.

Finally, if the enterprise is dissatisfied with the services provided by the current cloud provider and needs to change the service provider, how to transfer data between the two service providers? This should be a very difficult problem at the moment. As cloud storage is still in its infancy, each cloud vendor uses its own encryption or transmission mechanism to differentiate itself from other vendors. Therefore, there is no uniform standard of norms and constraints. Many cloud storage vendors cannot migrate customer data directly to another vendor, and when a service fails, the data is returned to the customer, who then goes to another cloud vendor or stores the data on the local server. This will virtually add a lot of tedious work. It is recommended here that each cloud vendor provide a set of application programming interface APIs for cloud data management, which enables data transfer between different cloud vendors, making it easier to migrate.

Through the above analysis, we can see that the perfect storage and data management strategy will make the cloud storage become practical. Here are some suggestions for the enterprise to take cloud storage, one of which is to ensure that all data sources are included during the migration process. Can not only focus on a certain local data, otherwise it will cause the distortion of the data and information is the most incomplete, for future use buried scourge. The second is to optimize storage. In order to do data migration, enterprises must explicitly migrate the range of data, and then extract useful data from different databases for intelligent analysis. Ensure that you can consolidate storage for isolated storage and inefficient applications, and restore storage status to optimal state. The third is to adopt the way of "automatic transfer" as far as possible. When choosing a data migration tool, we must ensure that it accelerates data transfer, reduces human intervention, and improves the efficiency and flexibility of migrating data. Four is to be differentiated according to different environment replication, so as possible to recycle orphaned data or move them to a more effective platform.

In a word, reasonable data transfer scheme and supporting measures will make cloud storage more and more recognized by various organizations. It is believed that with the continuous improvement and improvement of cloud technology, the cloud migration of data will become more and more simple.

(Responsible editor: The good of the Legacy)