Database Systems: Design, Implementation, & Management
13th Edition
ISBN: 9781337627900
Author: Carlos Coronel, Steven Morris
Publisher: Cengage Learning
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Chapter 6, Problem 10RQ
Explanation of Solution
Anomaly:
- Without normalization, redundancies occur in the table, and it may lead to errors or some sort of inconsistency. These are termed as anomalies.
- Anomalies occur when user wants to update the data in the table.
- There are three types of anomalies. They are,
- Insertion anomaly
- Deletion anomaly
- Modification anomaly
Insertion anomaly:
- Certain attributes cannot be inserted in the
database table without the presence of other attributes and causes the occurrence of insert anomaly. - For example,
- Suppose a student data need to be inserted in the STUDENT database table.
- Student_name and dept are the combination of primary keys in the STUDENT relation.
- The user must enter the values for both the keys. But, this is an anomaly here, because the user can enter only Student_name; the value for dept is unknown to the user until the student joins the department.
Deletion anomaly:
- Deletion of an attribute causes unintended loss of data or inconsistencies in the database and is referred to as deletion anomaly...
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Check out a sample textbook solutionStudents have asked these similar questions
What three data anomalies are caused by data redundancy? How to eliminate such anomalies
What is the significance of data independence?
How does data normalization differ from denormalization in the context of data warehousing?
Chapter 6 Solutions
Database Systems: Design, Implementation, & Management
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- Discuss the problems that can be caused by data redundancy.arrow_forwardIn the hierarchy of data, what is the difference between a data attribute and a data item? What is the domain of an attribute?arrow_forwardWhat are the three data abnormalities that are caused by data redundancy? How do we get rid of these peculiarities?arrow_forward
- What is the process of data redundancy elimination, and why is it a significant objective in normalization?arrow_forwardWhat does the term data independence mean, and why is it an important goal?arrow_forwardHow does data normalization differ from denormalization in the context of data warehousing, and when is each approach appropriate?arrow_forward
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