Rational Database

Rational Database

A relational database comprises of assortment of tables that are responsible for the storage of particular set of information. “The discovery of this system has improved in the way information or data is stored and executed” (Alagić, 1986). The facts of relational database root their existence from the principle that is related to algebra. Thus, the concept of application that involved the use of relational system was established. The introduction of Codd’s paper of 1970 brought about the history of relational database. This paper theory stated that information should be self-sufficient of any hardware and hence it should be endowed to facilitate the connecting data elements. Therefore, a relational database eases the storage of data through the partitioning of tables thus allocating all the data in an extensive table.

Relational database is grouped into three major types that are used in management purposes. The first one is the small footprint that is created for entrenched devices. “This device has limited storage capacity and they are small in size due to the mobility factor” (Hernandez, 1997). In many ways, they are applied with central bases for enhancing communication between senior units and the junior form of organization. In addition, these devices use wireless network to facilitate communication in an organization through the application of electronic signals. The second type is the scalable rational database. In this database, “the operation and performance is predictable according to the dimension of the database” (Leondes, 2002). This kind of database is used in big retail corporations in order to provide efficiency and speed in the transaction of trade. Furthermore, this database is used in areas whereby the server is the central determinant factor of communication. The third model of database relates to the extensive hold up of numerous data forms. It enables the user to have the searching advantage whereby he can search data with ease due to provision of related data in the system.

Fundamentals of the relational database involve the factors that enhance efficient data processing and storage. Hence, a relational database should be able to manage all the databases alongside its relational ability. “Information in database, for instance, the rows and columns name in a table should be expressed as values” (Slooten, 2002). The use of table names, column names and the primary value key should provide unlimited access to the database by the action of combining the data. The database should also have defined language in order to facilitate understanding. The database language should show the capability to query the system when it is accessed through the internet. This should also provide support to the information that is stored in the database. In addition, the system should be able to show all the updating information. The default null support value should be supported scientifically in order to depict the presence of unknown or inapplicable data. The other fundamental dictates that the application should not de distorted when the data is being distributed or re-distributed.

The benefits of relational database are achieved with respect to their rational model. This system enhances the efficient entry and deletion of data. Hence, this function is facilitated by the processing activity of the data in the system. The data in this system can be retrieved with ease due to the fast and proficient speed of the processor. Therefore, “the system provides an excellent capability in summarizing the data and in reporting any erroneous operation in the database” (Wiederhold, 1983). The result of the system is also predictable due to the superb formulation of the database. In addition, plenty of the data is perceived to be stored in the database and hence it gives the database self-independent character that allows efficiency. Therefore, the use of database is very important in an organization. This is because data is allocated in a big table that has been partitioned thus enhancing data storage and execution.

References

Alagić, S. (1986). Relational database technology. New York: Springer-Verlag.

Hernandez, M. J. (1997). Database design for mere mortals: A hands-on guide to relational database design. Reading, Mass: Addison-Wesley Developers Press.

Leondes, C. T. (2002). Database and data communication network systems: Techniques and applications. Amsterdam: Academic Press.

Slooten, K. (2002). Optimal information modeling techniques. Hershey, PA: IRM Press.

Wiederhold, G. (1983). Database design. New York, NY: McGraw-Hill.