Updating replicated data in distributed database

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.

Parallel computing is a form of computation in which many calculations are carried out simultaneously, operating on the principle that large problems can often be divided into smaller ones, which are then solved concurrently ("in parallel").

There are several different forms of parallel computing: bit-level, instruction level, data, and task parallelism.

A computer network, often simply referred to as a network, is a collection of hardware components and computers interconnected by communication channels that allow sharing of resources and information.

Besides distributed database replication and fragmentation, there are many other distributed database design technologies.It is a distributed algorithm that coordinates all the processes that participate in a distributed atomic transaction on whether to commit or abort (roll back) the transaction (it is a specialized type of consensus protocol).A transaction comprises a unit of work performed within a database management system (or similar system) against a database, and treated in a coherent and reliable way independent of other transactions. In a distributed database, there are a number of databases that may be geographically distributed all over the world.A distributed DBMS manages the distributed database in a manner so that it appears as one single database to users.

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