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Updating replicated data in distributed database

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Replication in computing involves sharing information so as to ensure consistency between redundant resources, such as software or hardware components, to improve reliability, fault-tolerance, or accessibility.

This is necessary for improving the availability of data.

There can be full replication, in which a copy of the whole database is stored at every site.

In a distributed database, there are a number of databases that may be geographically distributed all over the world.

Modular Development − If the system needs to be expanded to new locations or new units, in centralized database systems, the action requires substantial efforts and disruption in the existing functioning.

Lower Communication Cost − In distributed database systems, if data is located locally where it is mostly used, then the communication costs for data manipulation can be minimized. Following are some of the adversities associated with distributed databases.

Data Replication is the process of storing data in more than one site or node.

In the later part of the chapter, we go on to study the factors that lead to distributed databases, its advantages and disadvantages.

A distributed database is a collection of multiple interconnected databases, which are spread physically across various locations that communicate via a computer network.

Also, in a failure scenario, a failover of replicas is hidden as much as possible.

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Update Propagation of Replicated Data in Distributed. parallelism of updating the replicated spatial. replicated spatial database. 
06-Sep-2018 22:56
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Updating replicated data in distributed database introduction

Updating replicated data in distributed database

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