Distributed Database Vs Centralized Database - 1864 Words

Distributed Database vs Centralized Database centralized database: In a centralized database, all the data of an organization is stored in a single place such as a mainframe computer or a server. Users in remote locations access the data through the Wide Area Network (WAN) using the application programs provided to access the data. In a centralized database, all data of an organization are kept in a single computer as a central processor or server. Users in remote locations access data by using WAN by application software provided to access data. The centralized database (the central processor or server) should be able to satisfy all requests from the system; therefore, it creates restricted access. But since all data resides in a single location it easier to maintain and support data. In addition, it is easier to maintain the integrity of data, because once the data is stored in a centralized database, out-of-date data is no longer available in other places. Distributed Database: In a distributed database, the data is stored in storage devices that are in different physical locations. They are not attached to a common CPU but the database is controlled by a central DBMS. In a distributed database, data is stored in storage devices that are situated in different physical locations. They are not attached to a common central unit, but the database is controlled by the central DBMS. Data can be accessed by users in a distributed database by accessing the WAN. The process ofShow MoreRelatedData Mining Area Known As Closed Itemset Mining Essay1600 Words   |  7 Pagesof their businesses. Data mining aims to discover implicit, already unknown, and potentially useful information that is embedded in data. Frequent itemsets play an main role in a lot of data mining tasks that try to get interesting patterns in databases, such as association rules, clusters, sequences correlations, episodes and classier. 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