Discuss the following: With your client planning to use ZIP codes with every address in the table, discuss its implications on the 1NF, 2NF, and 3NF rules. Describe during which stage of the software implementation are these detailed design specifications likely to be implemented. Explain your reasons. Discuss the following: Provide a rationale for suggesting source code control, development environment, and refactoring tools used in programming. Describe 3 basic pros and cons of using development tools in programming. With your client planning to use ZIP codes with every address in the table, discuss its implications on the 1NF, 2NF, and 3NF rules.

Your company is developing software for the company’s client, a Fortune 500 company. The program is being developed by you and the project team. The design of the relational database is nearing completion. The client demands that you create a relational data base that contains related data and has primary keys as well as foreign keys. The client also wants to keep ZIP codes in address data.
These are the topics you should discuss:
Discuss with your client the implications of using ZIP codes for every address listed in the table.
Define the stage at which these design specifications will likely be implemented. Please explain your reasons.
You are also required to be proficient in at least three programming languages by your client. Your team and you carefully evaluate several programming tools. You then suggest three programming environments: development environment, source code control, and refactoring.
These are the topics you should discuss:
Include a justification for suggesting source-code control, development environments, and refactoring methods used in programming.
Define the three main pros and cons to using programming development tools.

Discuss with your client the implications of using ZIP codes for every address listed in the table.

 

Answer

Database normalization refers to the organization of data within a database. Normalizing data can reduce redundancy and other undesirable characteristics such as data structure anomalies. It is necessary to remove unnecessary data from relational tables in order to transform them into tabular form. This process can be done over several steps (Goel 2002). Normalization is a process that eliminates redundant or unusable data. It also ensures data connections remain logical.

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