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Oracle Essentials, 3rd Edition by Jonathan Stern, Robert Stackowiak, Rick Greenwald

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Chapter 12. Distributed Databases and Distributed Data

Data in large and mid-sized companies frequently resides on multiple servers. The data might be distributed across various-sized servers running a mix of operating systems for a number of reasons, including scalability, performance, access, and management. As a result, the data needed to answer business questions may not reside on a single local server. The user may need to access data on several servers simultaneously, or the data required for an answer may need to be moved to a local server. Inserts, updates, or deletions of data on these distributed servers may also be necessary.

There are two basic ways to deal with data in distributed databases: as part of a single distributed entity in which the distributed architecture is transparent, or by using a variety of replication techniques to create copies of the data in more than one location. This chapter will examine both of these options and the technologies associated with each solution. Several of the technologies described here can be used in combination with Oracle Application Server components to integrate data from several sources (for example, to facilitate document exchange). This combination of Oracle technology solutions is sometimes referred to as the Oracle Enterprise Integration framework.

Grid computing introduces a new third solution to widely distributed data—a single database deployment model leveraging Oracle’s Real Application Clusters and Application Server ...

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