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Distributed Databases
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Databases that are stored on computers at multiple locations and are not interconnected by a network are known as distributed databases.

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An increasingly popular option for data distribution as well as for fault tolerance of any database is to store a separate copy of the database at each of two or more sites.

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Asynchronous technology can result in unsatisfactorily slow response time because the distributed DBMS is spending considerable time checking that an update is accurately and completely propagated across the network.

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A distributed unit of work allows various statements within a unit of work to refer to multiple remote DBMS locations.

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The purpose of timestamping is to avoid the use of locks.

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Data replication is favored where most process requests are read-only and where the data are relatively static.

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The cost to perform a snapshot refresh may depend on whether the snapshot is simple or complex.

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The semijoin approach saves network traffic.

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In a semijoin, only the joining attribute is sent from one site to another, and then only the required rows are returned.

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The problem of concurrency control is more complex in a distributed database.

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