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Data normalization in the reduction of deletion and insertion anomalies.

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There are 4 questions to provide a substantive response (about 2000 words total or 500 words per question). - Each question, (a) calls for demonstration of higher levels of cognition (i.e. analysis, synthesis, and evaluation), and (b) is complex in nature (i.e. calls for a body of knowledge, concise, explicit expository response. The formulation of your response should follow a logical progression (e.g. introduction, analysis & discussion, and summary/conclusions, be developed with strong referential integrity and citations to academic sources, and strictly follow Americ...

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Question Preview:

There are 4 questions to provide a substantive response (about 2000 words total or 500 words per question). - Each question, (a) calls for demonstration of higher levels of cognition (i.e. analysis, synthesis, and evaluation), and (b) is complex in nature (i.e. calls for a body of knowledge, concise, explicit expository response. The formulation of your response should follow a logical progression (e.g. introduction, analysis & discussion, and summary/conclusions, be developed with strong referential integrity and citations to academic sources, and strictly follow American Psychological Association (APA) guidelines. Be sure to include a cover page and a references page. QUESTIONS: 1 - What is the importance of data normalization in the reduction of deletion and insertion anomalies? Give some examples of deletion and insertion anomalies. 2 - What is some functionality of Oracle SQL that can make the life of an SQL application developer easier? Provide specific examples of Oracle functionality, and what this functionality does for the developer. 3 - Describe the importance of database security. What are some methods one can use to increase security in your database? 4 - Why is it important to tune SQL statements? What are some steps one might take to tune an SQL statement?

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Normalization is the method of efficiently arranging data in a database. The main purpose of normalization is eliminate redundant data and data dependencies should be meaningful (related data should be stored in one table). To reduce insertion and deletion anomalies normalization is helpful.

With the following example we will see how normalization is helpful in reducing deletion and insertion anomalies

Table: Sales Orders (Un-normalized)

Sales Order No, Date   , Customer No, Customer Name, Customer Address,

Clerk No, Clerk Name, item description, Quantity, Unit Price

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