Podcast
Questions and Answers
What is a key characteristic of unnormalized data?
What is a key characteristic of unnormalized data?
- It ensures each row/column intersection contains multiple values.
- It is structured to avoid data anomalies.
- It has been processed to eliminate redundancy.
- It represents data in its original, raw state. (correct)
Normalization primarily aims to increase data redundancy to ensure data integrity.
Normalization primarily aims to increase data redundancy to ensure data integrity.
False (B)
In database normalization, what is the term for a rule that guides this process?
In database normalization, what is the term for a rule that guides this process?
normal form
A data ______ refers to an undesirable consequence of data modification, often addressed through normalization.
A data ______ refers to an undesirable consequence of data modification, often addressed through normalization.
Which normal form requires the elimination of repeating groups and identification of the primary key?
Which normal form requires the elimination of repeating groups and identification of the primary key?
Third Normal Form (3NF) allows the presence of non-key attributes determined by another non-key attribute.
Third Normal Form (3NF) allows the presence of non-key attributes determined by another non-key attribute.
What is a primary objective of normalization concerning tables in a database?
What is a primary objective of normalization concerning tables in a database?
What level of normalization is considered the highest level necessary for most applications?
What level of normalization is considered the highest level necessary for most applications?
In Second Normal Form (2NF), beyond the requirements of 1NF, what additional condition must be met?
In Second Normal Form (2NF), beyond the requirements of 1NF, what additional condition must be met?
Match the following normal forms with their characteristics:
Match the following normal forms with their characteristics:
Flashcards
Unnormalized Data
Unnormalized Data
Raw data in its original state, potentially containing redundant, multivalued data, and/or other data anomalies.
Normalization
Normalization
A process that assigns attributes to entities to reduce or eliminate data redundancy.
Data Anomaly
Data Anomaly
An undesirable consequence of data modification, e.g., insertion, deletion or update anomalies.
Objectives of Normalization
Objectives of Normalization
Signup and view all the flashcards
First Normal Form (1NF)
First Normal Form (1NF)
Signup and view all the flashcards
Second Normal Form (2NF)
Second Normal Form (2NF)
Signup and view all the flashcards
Third Normal Form (3NF)
Third Normal Form (3NF)
Signup and view all the flashcards
Boyce-Codd Normal Form (BCNF)
Boyce-Codd Normal Form (BCNF)
Signup and view all the flashcards
Fourth Normal Form (4NF)
Fourth Normal Form (4NF)
Signup and view all the flashcards
Study Notes
- An unnormalized data is raw data in its original state
- Unnormalized data might contain redundant data, multivalued data, and/or other data anomalies
- Data anomaly is an undesirable consequence of a data modification
- Normalization assigns attributes to entities
- Normalization reduces or eliminates data redundancies
Objectives of Normalization
- Each table/relation represents a single subject
- Each row/column intersection contains only one value and not a group of values
- No data item is unnecessarily stored in more than one table
- All nonprime attributes (not part of a key) in a table are dependent on the primary key
- Each table has no insertion, update, or deletion anomalies
- Each rule in database normalization is a normal form
Common Normal Forms
- First Normal Form (1NF) has no repeating groups, and the primary key is identified
- Second Normal Form (2NF) is 1NF, and all columns depend on the table's primary key
- Third Normal Form (3NF) is 2NF, and there are no non-key attributes determined by another non-key attribute
- Boyce-Codd Normal Form (BCNF) is every determinant is a candidate key (special case of 3NF)
- Fourth Normal Form (4NF) is 3NF and no independent multivalued dependencies
- While other normalization levels exist, 3NF is considered the highest level necessary for most applications
First Normal Form Example
- ADV_NAME: A. Santos, SUBJ_CODE: MAT1, SUBJECT: Math, STU_NUM: 018, STU_NAME: John L.
- ADV_NAME: A. Santos, SUBJ_CODE: MAT1, SUBJECT: Math, STU_NUM: 021, STU_NAME: Mae R.
- ADV_NAME: A. Santos, SUBJ_CODE: MAT1, SUBJECT: Math, STU_NUM: 026, STU_NAME: Mark V.
- ADV_NAME: C. Reyes, SUBJ_CODE: CHEM, SUBJECT: Chemistry, STU_NUM: 020, STU_NAME: Zac S.
- ADV_NAME: C. Reyes, SUBJ_CODE: CHEM, SUBJECT: Chemistry, STU_NUM: 019, STU_NAME: Ed P.
Second Normal Form Examples
- Table 1: Advisers includes ADV_ID and ADV_NAME; ADV_ID 0001 corresponds to ADV_NAME A. Santos and ADV_ID 0002 corresponds to ADV_NAME C. Reyes
- Table 2: Subjects includes SUBJ_CODE and SUBJECT; SUBJ_CODE MAT1 corresponds to SUBJECT Math, and SUBJ_CODE CHEM corresponds to SUBJECT Chemistry
- Table 3: Students includes STU_NUM and STU_NAME; STU_NUM 018 corresponds to STU_NAME John L., STU_NUM 021 corresponds to STU_NAME Mae R., STU_NUM 026 corresponds to STU_NAME Mark V., STU_NUM 020 corresponds to STU_NAME Zac S., and STU_NUM 019 corresponds to STU_NAME Ed P.
Third Normal Form Example
- It includes all three tables from 2NF, listed above in the "Second Normal Form Examples" section.
- Table 4: StudentAdvisers includes ADV_ID, SUBJ_CODE, and STU_NUM
- ADV_ID: 0001, SUBJ_CODE: MAT1, STU_NUM: 018
- ADV_ID: 0001, SUBJ_CODE: MAT1, STU_NUM: 021
- ADV_ID: 0001, SUBJ_CODE: MAT1, STU_NUM: 026
- ADV_ID: 0002, SUBJ_CODE: CHEM, STU_NUM: 020
- ADV_ID: 0002, SUBJ_CODE: CHEM, STU_NUM: 019
Unnormalized Table
- This has ADVISOR, SUBJECT, and STUDENTS columns
- Santos A. advises on Math, and has John L., Mae R., and Mark V. as students
- Reyes C. advises on Chemistry, and has Zac S. and Ed P. as students
Studying That Suits You
Use AI to generate personalized quizzes and flashcards to suit your learning preferences.