Docsity
Docsity
Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity

Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan

Guidelines and tips
Guidelines and tips
Sell on Docsity
Sell on Docsity
Docsity AI
Docsity AI
Log inSign up

Prepare for your exams

Study with the several resources on Docsity

Find documents

Prepare for your exams with the study notes shared by other students like you on Docsity

Search for your university

Find the specific documents for your university's exams

Docsity AINEW

Summarize your documents, ask them questions, convert them into quizzes and concept maps

Explore questions

Clear up your doubts by reading the answers to questions asked by your fellow students

Earn points to download

Earn points by helping other students or get them with a premium plan

Share documents
download point icon20 Points

For each uploaded document

Answer questions
download point icon5 Points

For each given answer (max 1 per day)

All the ways to get free points
Get points immediately

Choose a premium plan with all the points you need

Study Opportunities

Choose your next study program

Get in touch with the best universities in the world. Search through thousands of universities and official partners

Community

Ask the community

Ask the community for help and clear up your study doubts

Free resources

Our save-the-student-ebooks!

Download our free guides on studying techniques, anxiety management strategies, and thesis advice from Docsity tutors

Database Normalization: Understanding Normal Forms and Data Integrity, Exams of Nursing

Chamberlain College of NursingNursing

A comprehensive overview of database normalization, explaining the different normal forms (1nf, 2nf, 3nf, 4nf, bcnf) and their importance in maintaining data integrity. It delves into the concepts of functional dependencies, transitive dependencies, and data modification anomalies, illustrating how normalization helps to address these issues. The document also includes definitions of key terms related to database design and normalization, such as atomic values, candidate keys, and primary keys.

Typology: Exams

2023/2024

Available from 12/14/2024

mad-grades
mad-grades 🇺🇸

3.7

(3)

9.2K documents

1 / 4

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Chapter 5 - MISY 5300
1NF (First Normal Form) - correct answer table is in this form when it does not contain repeating groups,
each column contains atomic values and no duplicate records
2NF - correct answer is a progression beyond 1NF that organizes the columns into smaller relation, no
partial dependencies
3NF - correct answer include rules of 2NF but also exclude transitive dependencies. - No transitive
dependencies exist
4NF - correct answer all requirements meet of 3NF
Further data integrity rules have been applied to remove all potential data modification anomalies
algoirthm - correct answer defined set of steps to solve a problem
atomic value - correct answer is a piece of data that cannot be meaningfully divided.
Boyce-Codd Normal Form (BCNF) - correct answer A special type of third normal form (3NF) in which
every determinant is a candidate key
candidate key - correct answer An attribute, or combination of attributes, that uniquely identifies a row
in a relation.
Codd's 12 rules - correct answer defines what is required from a DBMS in order for it to be considered
relational
Codd's relational model of data - correct answer the original normalization process
composite key - correct answer An identifier consisting of a combination of
pf3
pf4

Partial preview of the text

Download Database Normalization: Understanding Normal Forms and Data Integrity and more Exams Nursing in PDF only on Docsity!

Chapter 5 - MISY 5300

1NF (First Normal Form) - correct answer table is in this form when it does not contain repeating groups, each column contains atomic values and no duplicate records 2NF - correct answer is a progression beyond 1NF that organizes the columns into smaller relation, no partial dependencies 3NF - correct answer include rules of 2NF but also exclude transitive dependencies. - No transitive dependencies exist 4NF - correct answer all requirements meet of 3NF Further data integrity rules have been applied to remove all potential data modification anomalies algoirthm - correct answer defined set of steps to solve a problem atomic value - correct answer is a piece of data that cannot be meaningfully divided. Boyce-Codd Normal Form (BCNF) - correct answer A special type of third normal form (3NF) in which every determinant is a candidate key candidate key - correct answer An attribute, or combination of attributes, that uniquely identifies a row in a relation. Codd's 12 rules - correct answer defines what is required from a DBMS in order for it to be considered relational Codd's relational model of data - correct answer the original normalization process composite key - correct answer An identifier consisting of a combination of

two or more fields that is used when more than one column is necessary to make a row unique in a table; also, an index with more than one key field. data modification anomalies - correct answer storing info from multiple topics in one list creates problems when entering, updating and deleting information. Three types, insertion, update and delete anomalies Deletion Anomaly - correct answer - unintended loss of data due to deletion of other data

  • Ex: If a professor retires, data with his name deletes creating data deleted about current students field - correct answer attribute, column foreign key field - correct answer is a column or group of columns in a relational database table that provides a link between data in two tables. functional dependence - correct answer idea of how attributes depend on or relate to other attributes in a relation. functionally dependent - correct answer Functional dependency is a relationship that exists when one attribute uniquely determines another attribute.
  • ex: idea of how attributes depend on or relate to other attributes in a relation. IIF (Access built-in- function) - correct answer to extract a number of characters from the right side of the field Insertion Anomaly - correct answer - if you cannot add data to the database due to absence of other data
  • Ex: If student does not have student ID can't be assigned to professor InStr (access built-in function) - correct answer to identify the location of the space character in the current field

repeating group - correct answer more than one value in an attribute (multiple entries) Right (Access built-in function) - correct answer to extract a number of characters from the right side of the field transitive dependency - correct answer - occur if a nonkey attribute determines another nonkey attribute · Ex: Department field is dependent on DepartmentID field tuple - correct answer A collection of related fields; can be thought of as a row in a table. Also called a record or row unnormalized - correct answer a description of data that doesn't meet the standards of 1NF

  • A random list of information with many potential data redundancy problems unnormalized relation - correct answer is a relation that contains repeating values, can also contain relations nested within other relations, as well as all kinds of transitive dependencies. update anomaly - correct answer marked by data inconsistencies that generally result from data redundancy but can occur if a record is only partially updated or is a particular field contains inappropriate null data. o Ex: if department name changes from Technology to Industrial Technology, things would nee to be changed to stay accurate