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Microsoft Access Removing Redundancy in a Database.

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Presentation on theme: "Microsoft Access Removing Redundancy in a Database."— Presentation transcript:

1 Microsoft Access Removing Redundancy in a Database

2 Objectives Identify repeated data Identify related information Redundant data anomalies Removing redundancy

3 Identifying Repeated Data ID NumberNameAmount PaidTrans. Date 93500Phillip, Doe15.754/12/2009 93500Phillip, Doe20.354/18/2009 93500Phillip, Doe15.755/23/2009 97583James, Elsa25.005/23/2009 Repeated data for person with ID Number 93500 has to be kept in this table, in order to track amount paid and transaction date Some repeated data may seem redundant (for example, Transaction Date). But should actually be treated as separate fields

4 Identifying Related Information ID NumberNameAmount PaidTrans. Date 93500Phillip, Doe15.754/12/2009 93500Phillip, Doe20.354/18/2009 93500Phillip, Doe15.755/23/2009 97583James, Elsa25.006/17/2009 ID Number and Name data describe information relevant to a person. Thus, ID Number and Name with (93500, Phillip Doe), should to kept in a Persons table The Amount Paid and Transaction Date describe transaction data, and should be kept in a Transactions table, linked to the Persons table through the ID Number

5 Redundant Data Anomalies Redundant databases can have modifications anomalies: Update anomaly Insertion anomaly Deletion anomaly

6 Update Anomaly Update to an employee’s address information did not fully complete The same employee has conflicting address information

7 Insertion Anomaly Suppose a table stores information about faculty and their courses New faculty that has not been assigned to teach any courses, cannot be inserted into the database

8 Deletion Anomaly When the faculty member temporarily stops teaching the course assigned, the entire record –including information about the faculty– has to be deleted

9 Removing Redundancy “Normalization” increases efficiency by eliminating redundant data, while ensuring that only related data are kept together Separate tables are kept for each group of related data Sets of related data are uniquely identified with a primary key Relationships between tables are established via link fields

10 Faculty and Courses Faculty IDFaculty Name Hire Date 389Dr. Giddens10-Feb-1985 407Dr. Saperstein 19-Apr-1999 424Dr. Newsome 29-Mar- 2007 Course CodeFaculty ID ENG-206389 CMP-101407


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