Paper Title : Overview of distributed database system
ISSN : 2394-2231
Year of Publication : 2021
MLA Style: Okardi, Biobele, Asagba, O.Prince "Overview of distributed database system " Volume 8 - Issue 1 January-February , 2021 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org
APA Style: Okardi, Biobele, Asagba, O.Prince "Overview of distributed database system " Volume 8 - Issue 1 January-February , 2021 International Journal of Computer Techniques (IJCT) ,ISSN:2394-2231 , www.ijctjournal.org
Distributed Database System (DDBS) is a collection of multiple, logically interrelated databases distributed over a computer network. It is a schema that facilitates database decentralization for the management and manipulation of data in a database using same or common language. The business environment is presently in need of distributed database and Client/server applications for reliability, scalability and accessibility of information which rises in Steady manner. Distributed database systems provide improved communication in data processing throughout different network sites. The Database is controlled by Database Management System (DBMS) in maintaining and utilizing large collections of data. This paper tends to present an overview and introduction to Distributed Database System and their advantages and disadvantages, and also provides various aspects like replication, fragmentation and various problems that can be faced in distributed database systems. This research proposes a systematic review on distributed databases systems with the aid of three distribution strategies respectively - Data fragmentation, Data allocation and Data replication. Some problems encountered in the design and use of these strategies has been pointed out. For Distributed System, the hardware and software components in the network communicate and coordinate their activity only by passing messages.
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Distributed Database System, Database Management system, Distributed Database Management System, Deadlock, Data Replication, Data Fragmentation.