Data Redundancy Discussion essay

Please reply with a minimal of 150 phrases to the peer dialogue submit under after studying the preliminary dialogue first.

Preliminary Dialogue:

Focus on the connection between information redundancy and normalization. What are the implications if databases should not normalized? What issues is normalization addressing? Why is normalization essential for efficient database design and growth?

Peer Response:

Howdy class,

Throughout my analysis I discovered that Normalization is the tactic of creating the quantity of redundancy on a particular desk. In different phrases, normalization analyzes a desk and identifies a weak desk construction. The target of normalization is to: 1) The flexibility for instance and recognized redundancy and information abnormalities in a relational schema and a couple of) Present processes to change schemas to take away that redundancy and anomalies.

In distinction, information redundancy is when the sphere in a desk must be up to date in a couple of place. Knowledge Redundancy can result in many issues like format inconsistencies and the discovering the identical info in a number of locations. Normalization addresses the issue of information redundancy, by eradicating the redundancies on a desk, making it extra constant when including, deleting and updating info.

Lastly, normalization is essential as a result of it correctly maintains the optimum design and construction of the database, retaining it functioning as supposed by the unique design. Knowledge normalization eliminates the anomalies making the evaluation of the database simpler. Normalization additionally advantages the database as it would take much less house with out all of the abnormalities in it. By taking much less house has the impact of accelerating efficiency. A database that isn’t stricken by a great deal of pointless info ensures a sooner and extra helpful information evaluation. By partaking within the technique of normalization, altering and updating information throughout the database might be simpler. Because the redundancies and errors are eliminated, the info is far clear and modify info might be much less difficult.


[WhatisDBMS] (2021) Normalization in DBMS: Anomalies, Benefits, Disadvantages retrieved from on 31 August 2021.

Watt, A., & Eng, N. (n.d.). Chapter 11: Purposeful dependencies, retrieved on 31 August 2021.

Watt, A., & Eng, N. (n.d.). Chapter 12: Normalization, retrieved on 31 August 2021.

Russell, G. (n.d.). Normalization. Retrieved on 31 August 2021.

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