Database Normalization

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Questions and Answers

What is the primary goal of normalization in database design?

  • To increase data redundancy for faster data retrieval.
  • To complicate data maintenance for better data security.
  • To provide a complex design that obscures the real world.
  • To minimize data redundancy and avoid anomalies. (correct)

Which of the following is the most accurate definition of normalization in databases?

  • A tool used for backing up and restoring database files.
  • A technique for encrypting sensitive data within a database for security.
  • A method of quickly inserting large amounts of data into a database.
  • A process of organizing data to minimize redundancy and improve data integrity. (correct)

What does normalization primarily aim to prevent when managing relational databases?

  • Unauthorized access.
  • Data redundancy and anomalies. (correct)
  • System crashes.
  • Network congestion.

Which of the following scenarios is most likely to occur in a database that has NOT been properly normalized?

<p>Data inconsistencies arise and data maintenance becomes difficult. (B)</p> Signup and view all the answers

What is the main purpose of decomposing relations into smaller, well-structured relations during normalization?

<p>To reduce redundancy and improve data integrity. (D)</p> Signup and view all the answers

Which statement accurately describes a key benefit of database normalization?

<p>It facilitates easier data maintenance due to reduced redundancy. (A)</p> Signup and view all the answers

What term describes the problems that arise in database tables that have not been normalized?

<p>Modification anomalies. (C)</p> Signup and view all the answers

In a database context, what typically results from modification anomalies?

<p>Data inconsistencies and integrity issues. (C)</p> Signup and view all the answers

Which anomaly occurs when you cannot insert a new record into a table because of a missing attribute?

<p>Insertion anomaly. (D)</p> Signup and view all the answers

Which type of anomaly occurs when deleting a record inadvertently removes other unrelated information?

<p>Deletion anomaly. (D)</p> Signup and view all the answers

What type of data anomaly arises when an update to a single piece of data requires changes to multiple records, and some are missed?

<p>Update anomaly. (A)</p> Signup and view all the answers

Breaking an existing unnormalized table into two or more smaller tables aims to resolve which common database problem?

<p>Modification anomalies. (D)</p> Signup and view all the answers

What does functional dependency describe in the context of database normalization?

<p>The relationship where one attribute's value determines another's. (C)</p> Signup and view all the answers

In database normalization, what is indicated when knowing the value of one attribute is sufficient to determine the value of another attribute?

<p>Functional dependency. (B)</p> Signup and view all the answers

In database design, what term best describes a non-key attribute that depends on only part of the primary key?

<p>Partial functional dependency. (D)</p> Signup and view all the answers

What normalization issue arises when a non-key attribute is functionally dependent on only a portion of the primary key?

<p>Partial functional dependency. (D)</p> Signup and view all the answers

In database normalization, what is the term for a functional dependency between the primary key and a non-key attribute that is dependent on the primary key via another non-key attribute?

<p>Transitive dependency. (C)</p> Signup and view all the answers

Which of the following dependencies is characterized by a non-key attribute depending on another non-key attribute, which in turn depends on the primary key?

<p>Transitive dependency. (B)</p> Signup and view all the answers

What is the first normal form (1NF) primarily concerned with?

<p>Removing multi-valued attributes. (A)</p> Signup and view all the answers

Which type of attribute does the First Normal Form (1NF) specifically aim to eliminate?

<p>Repeating Groups (multivalued attributes). (A)</p> Signup and view all the answers

What is the primary goal of Second Normal Form (2NF) in database normalization?

<p>To eliminate all partial functional dependencies. (A)</p> Signup and view all the answers

What step must be taken to achieve Second Normal Form (2NF) if a table is already in First Normal Form (1NF)?

<p>Eliminate all partial dependencies. (A)</p> Signup and view all the answers

What type of dependency does Third Normal Form (3NF) primarily address by removing?

<p>Transitive dependencies. (B)</p> Signup and view all the answers

What specific condition does a table need to satisfy to be in Third Normal Form (3NF)?

<p>It must have no transitive dependencies. (C)</p> Signup and view all the answers

What characteristic defines a table that is in First Normal Form (1NF)?

<p>It contains no repeating groups. (D)</p> Signup and view all the answers

A table is in Second Normal Form. What condition does this imply about its structure?

<p>No repeating groups and no partial dependencies. (B)</p> Signup and view all the answers

A database is in Third Normal Form. What characteristics describe its dependencies?

<p>It has no repeating groups, partial dependencies, or transitive dependencies (A)</p> Signup and view all the answers

In a properly normalized database, what does the term 'atomic' refer to regarding attribute values?

<p>Each value in a column must hold a single, indivisible piece of data. (B)</p> Signup and view all the answers

A company stores customer data including multiple phone numbers in a single field. Which normal form is this table violating?

<p>First Normal Form (C)</p> Signup and view all the answers

In a table, CustomerID determines CustomerName and CustomerAddress. CustomerAddress is thus transitively dependent on CustomerID if it is determined by what?

<p><code>CustomerName</code> (A)</p> Signup and view all the answers

In a database table with columns for OrderID, ProductID, ProductName, and ProductPrice, which normal form is violated if ProductName and ProductPrice depend only on ProductID?

<p>Second Normal Form (A)</p> Signup and view all the answers

For a table in 2NF, what must be addressed to bring the table to 3NF?

<p>Transitive dependencies (C)</p> Signup and view all the answers

A table includes EmployeeID, DepartmentID, and DepartmentName. If DepartmentName depends on DepartmentID, which normal form is violated?

<p>Third Normal Form (B)</p> Signup and view all the answers

In a database, the table OrderT(OrderID, OrderDate, CustomerID) represents order information. The table Customer(CustomerID, CustomerName, CustomerAddress) holds customer details. Which dependency is exemplified?

<p>Referential Integrity (C)</p> Signup and view all the answers

Consider a database design with OrderT, Product, Order_Detail, and Customer tables. Which dependency isn't specifically addressed by achieving Third Normal Form?

<p>Multi-valued dependencies (D)</p> Signup and view all the answers

A database table has the structure ORDERPRODUCT(orderid, orderdate, custid, custname, custadrs, {prodid, proddesc, prodfin, uprice, qty}). What normal form is this table in?

<p>UNF (C)</p> Signup and view all the answers

Flashcards

Normalization

A process of analyzing a relation to ensure that it is well-formed.

Normalization involves

Breaking down relations to produce smaller, well-structured relations.

Normalization is

Deciding which attributes should be grouped together in a relation.

Normalized Relation

Rows can be inserted, deleted, or modified without creating anomalies.

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Normalization Goal: Minimize?

Conserving space and avoiding anomalies.

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Normalization Goal: Provide a

Ensuring the design is an improved representation of the real world.

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Normalization is a

Used to ensure data are well structured from an organization-wide view.

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Modification Anomalies

Tables that are not normalized are susceptible to modification anomalies.

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Insertion Anomaly

Occurs when certain attributes cannot be inserted into the database without other attributes.

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Update Anomaly

Exists when one or more instances of duplicated data are not fully updated.

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Deletion Anomaly

Occurs when certain attributes are lost because of the deletion of other attributes.

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Functional dependency

Knowing the value of one attribute is enough to tell you the value of another attribute in the same table.

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Partial functional dependency

When a non-key attribute is functionally dependent on part (but not all) of the primary key.

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Transitive dependency

A functional dependency between the primary key and one or more nonkey attributes via another nonkey attribute

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First Normal Form

Multivalued attribute have been removed.

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Second Normal Form

Any partial functional dependencies have been removed.

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Third Normal Form

Any transitive dependencies have been removed.

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Study Notes

Normalization Definitions

  • Normalization is analyzing a relation to ensure that it is well formed.
  • Normalization decomposes relations into smaller, well-structured relations.
  • Normalization is a formal process that decides how attributes should be grouped to remove anomalies.
  • A normalized relation allows rows to be inserted, deleted, or modified without creating anomalies.

Normalization Goals

  • Minimize data redundancy, conserve space and avoid anomalies.
  • Easier data maintenance.
  • Provide a better DB design.
  • Represent the real world more accurately.

Normalization as a Technique

  • Normalization is a logical data-modeling technique.
  • It ensures well-structured data across an organization.

Modification Anomalies

  • Modification anomalies occur in unnormalized tables.
  • Insertion Anomaly happens when certain attributes cannot be inserted without the presence of other attributes.
  • Update Anomaly happens when one or more instances of duplicated data are updated, but not all.
  • Deletion Anomaly happens when certain attributes are lost due to other attributes' deletion.

Solving Modification Problems

  • Most modification issues are solved by breaking a table into two or more tables via normalization.

Functional Dependency

  • Functional dependency exists when the value of an attribute or set of attributes can determine the value of another attribute within the same table.
  • Example: SSS No. determines Employee’s Name and Employee’s contributions.
  • Example: Bank Account No. determines Customer Name and Amount of Deposit.

Partial Functional Dependency

  • Partial functional dependency present when a non-key attribute depends on part, but not all, of the primary key.

Transitive Dependency

  • Transitive dependency arises when there is a functional dependency between the primary key and one or more non-key attributes through another non-key attribute.
  • If A is PK, B and C are non-key attributes, C depends on B, and B depends on A, then C is transitively dependent on A.
  • Example: DeptID is the primary key, MgrID and MgrName are non-key attributes; MgrName depends on MgrID, and MgrID depends on DeptID, then MgrName is transitively dependent on DeptID.

Steps in Normalization

  • Normalization occurs in stages, each corresponding to a normal form.
  • First Normal Form (1NF): Multi-valued attributes (repeating groups) are removed.
  • Second Normal Form (2NF): Partial functional dependencies are removed
  • Third Normal Form (3NF): Transitive dependencies are removed.

Tables with Multi-Valued Attributes

  • Tables with Multi-Valued Attributes - Not in 1st Normal Form
  • Tables with No Multi-Valued Attributes - In 1st Normal Form

Functional Dependencies: Order ID, Product ID, Customer ID

  • Order_ID -> Order_Date, Customer_ID, Customer_Name, Customer_Address
  • Product_ID -> Product_Description, Product_Finish, Unit_Price
  • Order_ID, Product_ID -> Order_Quantity
  • Customer_ID -> Customer_Name, Customer_Address

Normal Forms

  • 1NF PLUS No partial dependencies = Second Normal Form
  • 2NF PLUS No transitive dependencies = Third Normal Form

Tables and Attributes

  • OrderT(orderID, orderdate,custid)
  • Product(prodid, proddesc,finish, uprice)
  • Order_detail(orderID, prodid, qty)
  • Customer(custid,custname,custadrs)

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