Database Data Migration

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. and data migration as the use of cloud storage side ...

Database migration is not a matter of overnight, you can not suddenly say: "Hey!" How about moving the database to the cloud today? "There is still a lot of preparation to consider before deciding on a migration." 　　Many vendors now offer attractive cloud services, but you have to figure out what kind of products you really need. Before we start, let's think about a scenario in which cloud database migration is a viable option: the ability to manage an enterprise's internal database is not sufficient it is not a central functional unit that requires capital expenditure for small and medium-sized enterprises ...

"Editor's note" even seemingly simple data center migrations can affect business operations, jeopardizing key business functions and business relationships. However, the company can successfully migrate the data center. Greenhousedata's data center and Planning Director Art Salazar recently wrote about the four steps to do a good job of data center migration, with a lot of people concerned and learning. With the company merging, the internal deployment facilities are aging, but the integration task has been confessed, then the need to migrate the data center equipment to the new facility ...

Design and implementation of data mining and data migration system under Hadoop architecture Shanghai Jiao Tong University Lu Ming Education usually the enterprise's information system will contain multiple business systems, each business system contains its own set of online business system, backup system and filing system, system management is complex, easy to cause the waste of storage space, And the system scalability is poor. In view of the above shortcoming, this paper designs and realizes a tiered storage system, uses a large data platform to carry on the unified management to the multiple business system data, unifies each business system backup system and the filing system. This Part ...

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In mailbox rapid expansion process, one of the performance problems is the MongoDB database level write lock, the time spent in the lock waiting process, directly reflects the user's use of the service process delay. To address this long-standing problem, we decided to migrate a common set of MongoDB (storing mail-related data) to a separate cluster. According to our inference, this will reduce the lock latency by 50%, and we can add more fragments, and we expect to be able to optimize and manage different types of data independently. We start from Mon ...

With the rise of internet web2.0 websites, the relational database has become a very hot new field, the development of the non relational database products is very rapid. 　　But the traditional relational database in dealing with web2.0 website, especially the super large-scale and high concurrent SNS type web2.0 pure dynamic website already appeared to be powerless, has exposed many insurmountable problems, for example: 1, high configured--to the database higher concurrent reads and writes the demand WEB2.0 website to be based on user personalized information to generate real-time dynamic ...

Cloud computing and data warehousing are a reasonable couple. Cloud storage can be scaled on demand, and the cloud can contribute a large number of servers to a specific task. The common function of Data Warehouse is the local data analysis tool, which is limited by calculation and storage resources, and is limited by the designer's ability to consider the new data source integration. If we can overcome some of the challenges of data migration, the problem can be solved by moving a data warehouse and its data analysis tools from dedicated servers in the datacenter to cloud-based file systems and databases. Cloud data management is often involved in loading and maintaining text in Distributed File systems ...

The scalability of the system is the main reason for promoting the development of NoSQL movement, including distributed system coordination, failover, resource management and many other features. That makes NoSQL sound like a big basket that can be stuffed with anything. Although the NoSQL movement does not bring fundamental technological changes to distributed data processing, it still leads to extensive research and practice on protocols and algorithms. It is through these attempts to gradually summarize some effective database construction methods. In this article, I will focus on the distributed features of the NoSQL database ...