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Distributed Database Management Systems - Essay Example

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That is a database whose storage is in multiple computing systems that may or may not be in the same location. Consequently, the work of the DDBMS is control such a database as though it was working in the…
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Centralized DDBMS versus a Decentralized Database Insert Insert Introduction A distributed database management system manages a distributed database. That is a database whose storage is in multiple computing systems that may or may not be in the same location. Consequently, the work of the DDBMS is control such a database as though it was working in the same place (Moris, February 4, 2014). The purpose is to synchronize the data and ensure that actions like updates are in all other areas in case of multiple users. Decentralized database, on the other hand, is an example of a massive database being divided into smaller ones.
It is done so that an individual data subject is represented by a smaller database objects.
The advantages of having a DDBMS include better performance especially when relating to access to data (Ritchie, 2002). In this case, users work with a subset of data that is on their workstation. Further, there is improved data processing due to multiple processes running at different sites. It also supports the addition of new sites while standard routines run on the other sites. Eventually, the cost of operation is significantly reduced since it is more costly to have a new mainframe system than just adding a user terminal (Baldoni, 2006). It has significantly cut down on cases of failures at individual points since the same work is available in other centers.
The decentralized database is vital with hardware getting cheaper; As a result, these systems are more efficient and faster. The many processes in the institutions will handle their individual volumes of data which are very huge (Yu & Jajodia, 2007). If such data is by one central database, chances of failure are very high. Thus, the decentralized database will address the issue of database failure and bringing the activities to a halt. It further ensures the integrity of data is in place with each unit responsible for its data. Further, their overall functionality and speed of processing could be significantly improved.
References
Baldoni, R. (2006). Global data management. Amsterdam: IOS Press.
Moris, C. C. (February 4, 2014). Database Systems: Design, Implementation & Management (11th Ed.). Cengage Learning.
Ritchie, C. (2002). Relational database principles. London: Continuum.
Yu, T., & Jajodia, S. (2007). Secure data management in decentralized systems. New York: Springer. Read More
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