It took some time to achieve the product I was looking for, but we eventually got there. I do feel like a lot of hard work was put into this, and it even exceeded the page requirement. I'm pretty pleased overall. I give my thanks.
Please respond with a minimum of 150 words to the peer discussion post below after reading the initial discussion first.
Discuss the relationship between data redundancy and normalization. What are the consequences if databases are not normalized? What problems is normalization addressing? Why is normalization crucial for effective database design and development?
During my research I found that Normalization is the method of establishing the amount of redundancy on a specific table. In other words, normalization analyzes a table and identifies a weak table structure. The objective of normalization is to: 1) The ability to illustrate and identified redundancy and data abnormalities in a relational schema and 2) Provide processes to modify schemas to remove that redundancy and anomalies.
In contrast, data redundancy is when the field in a table needs to be updated in more than one place. Data Redundancy can lead to many problems like format inconsistencies and the finding the same information in multiple places. Normalization addresses the problem of data redundancy, by removing the redundancies on a table, making it more consistent when adding, deleting and updating information.
Finally, normalization is crucial because it properly maintains the optimal design and structure of the database, keeping it functioning as intended by the original design. Data normalization eliminates the anomalies making the analysis of the database less complicated. Normalization also benefits the database as it will take less space without all the abnormalities in it. By taking less space has the effect of increasing performance. A database that isn’t plagued by loads of unnecessary information ensures a faster and more useful data analysis. By engaging in the process of normalization, changing and updating data within the database will be easier. Since the redundancies and errors are removed, the data is much clear and modify information will be less challenging.
[WhatisDBMS] (2021) Normalization in DBMS: Anomalies, Advantages, Disadvantages retrieved from https://whatisdbms.com/normalization-in-dbms-anomalies-advantages-disadvantages/ on 31 August 2021.
Watt, A., & Eng, N. (n.d.). Chapter 11: Functional 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.
Delivering a high-quality product at a reasonable price is not enough anymore.
That’s why we have developed 5 beneficial guarantees that will make your experience with our service enjoyable, easy, and safe.
You have to be 100% sure of the quality of your product to give a money-back guarantee. This describes us perfectly. Make sure that this guarantee is totally transparent.Read more
Each paper is composed from scratch, according to your instructions. It is then checked by our plagiarism-detection software. There is no gap where plagiarism could squeeze in.Read more
Thanks to our free revisions, there is no way for you to be unsatisfied. We will work on your paper until you are completely happy with the result.Read more
Your email is safe, as we store it according to international data protection rules. Your bank details are secure, as we use only reliable payment systems.Read more
By sending us your money, you buy the service we provide. Check out our terms and conditions if you prefer business talks to be laid out in official language.Read more