The Purpose and Principles of Normalizing a Relational Database Structure” Please respond to the following:
Database normalization is the process of organizing the attributes and tables of a relational database to minimize data redundancy. If a database design is not perfect it may contain anomalies, which are like a bad dream for a database itself. Managing a database with anomalies is next to impossible. Normalization is a method to remove all these anomalies and bring a database to a consistent state, free from any kinds of anomalies. Research normalization.
Normalization and Redundancy: Suggest one (1) of the problems that normalization seeks to solve within a database. Describe one (1) example of your suggested problem and explain the overall benefit that normalization would provide. (Note: Your example can be hypothetical or use the university business function/operation.)
- Identify the key determinants that could affect the degree of normalization of a database. Justify your response. Next, identify the aspects of the database design that can be denormalized. Explain the key ways in which the business rules support the degree of normalization and the elements that can be denormalized.
Engage the following resource(s) to get started. Video(s) 1. Normalization | Database Management System
https://www.youtube.com/watch?v=IwswNIZ_PSg,2. How to do database normalization
https://www.youtube.com/watch?v=UDFRhj_K508, 3. Database Normalization
PLEASE RESPOND TO CLASSMATE DISCUSSION WHETHER YOU AGREE OR NOT & A DETAILED WHY: Normalization solves the issue of having redundant information on the same table ultimately making the table more compact. Let’s say that I own a mechanic shop. Most businesses have there reoccurring customers ,Vehicles (Some people have multiple, parts, Maintenance routine services. Now if we had a denormalized table, the information can become redundant due to the variable of how many vehicles an individual may have and also how long have they been going to the shop. If they have been coming their for years, the information can become redundant very easily. Normalizing data makes the reading of reports much easier and free of duplicate information as well as organized. In the example provided above, think about for business analytical reason, a report for how many vehicles were serviced for the year. Normalized tables will provide upper manager with the information needed.