Partitioned views Research Paper Example | Topics and Well Written Essays - 750 words

Partitioned views - Research Paper Example The tables that take part in the partitioned view have either the same or extremely alike structures as far as the names of the column, the types of data, the precision and scale are concerned. These needs to be similar if one wishes to have a read-only view or they must be the same if one wishes to allow updates in the course of the view (Views- Partitioned, 2012). In this organization, each of the servers that take part in the partitioned view are required to be linked as servers on the servers present locally where the view is identified. Portions of the entire set of data are contained in the tables on each of the servers. Thus a table can be split horizontally through the use of partitioned views enabling the achievement of the most advantageous performance. Partitioning column is referred to the column that performs the task of splitting the larger table into the smaller ones. The partitioned views are put into practice all the way through remote that is distributed queries (Views- Partitioned, 2012). â€Å"Partitioning  enables you to decompose very large tables and indexes into smaller and more manageable pieces called  partitions. Each partition is an independent object with its own name and optionally its own storage characteristics† (Partitions, Views, and Other Schema Objects, 2011). With the use of a partitioned view, partitioned data that are arranged horizontally are joined from a set of member tables transversely one or more servers, making it appear as if the data comes from a single table.  Federation of database servers, referring to the group of servers controlled autonomously, is capable of being implemented through the use of distributed partitioned views (Creating a Partitioned View, 2012). The advantages of partitioned views can be understood as follows (Partitioned Tables and Indexes, 2002): Data management operations are enabled through partitioned views. These include data loads, index creation and rebuilding. This also