Database Design Fundamentals Chapter 2
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Questions and Answers

Which of the following statements is true about the first normal form (1NF)?

  • A relation in 1NF can still have partial dependencies.
  • 1NF allows for repeating groups in a relation.
  • To convert to 1NF, include a primary key of repeating groups. (correct)
  • 1NF requires all attributes to contain unique values.
  • What is required for a relation to be considered in second normal form (2NF)?

  • It must be in 1NF and all nonkey attributes must depend on the entire primary key. (correct)
  • All attributes must be functionally independent.
  • All nonkey attributes must depend on only a portion of the primary key.
  • It must be in 1NF and have no repeating groups.
  • What does Boyce-Codd normal form (BCNF) address in the context of database design?

  • It requires that only candidate keys determine other attributes. (correct)
  • It prevents redundancy in a database.
  • It is a higher version of first normal form.
  • It eliminates repeating groups from relations.
  • Which type of diagram is commonly used for illustrating relationships in database design?

    <p>Entity-relationship (E-R) diagram</p> Signup and view all the answers

    What is the main goal of normalization in database design?

    <p>To convert unnormalized relations into various normal forms.</p> Signup and view all the answers

    Which of the following describes a functional dependency in a database context?

    <p>A situation where one attribute uniquely determines another.</p> Signup and view all the answers

    In the context of database design, what is a determinant?

    <p>Any attribute that can determine another attribute.</p> Signup and view all the answers

    Which of the following best describes a primary key?

    <p>A unique identifier for each record in a table.</p> Signup and view all the answers

    What potential issues does second normal form (2NF) address?

    <p>Update anomalies caused by partial dependencies.</p> Signup and view all the answers

    Which of the following constraints must be enforced for sales orders in a database?

    <p>Only one customer can be associated with each order.</p> Signup and view all the answers

    What is the definition of a 'relation' in the context of database design?

    <p>A two-dimensional table with specific constraints.</p> Signup and view all the answers

    Which of the following is NOT a characteristic of a functional dependency?

    <p>It can be determined from a sample dataset.</p> Signup and view all the answers

    What is the purpose of normalization in database design?

    <p>To eliminate data redundancy and improve data integrity.</p> Signup and view all the answers

    In the context of database design, what is the primary role of an entity-relationship diagram (ERD)?

    <p>To model the logical relationships between entities in the database.</p> Signup and view all the answers

    Which of the following is an example of a one-to-many relationship in a database?

    <p>A customer can have multiple orders, but an order is related to only one customer.</p> Signup and view all the answers

    Which of the following is considered a primary key characteristic in a relational database?

    <p>All of the above.</p> Signup and view all the answers

    In the context of a relational database, what is the difference between a relation and a table?

    <p>A relation is a conceptual model, while a table is its physical implementation.</p> Signup and view all the answers

    What is the concept of 'data redundancy' in database design, and why is it problematic?

    <p>Repeating the same data across multiple tables.</p> Signup and view all the answers

    Which of the following stages in the database design process primarily involves gathering information about user needs and business requirements?

    <p>Requirements analysis</p> Signup and view all the answers

    Why is it important to ensure that each row in a relation is distinct in a relational database?

    <p>To guarantee that each row represents a unique occurrence of an entity.</p> Signup and view all the answers

    Study Notes

    Chapter 2: Database Design Fundamentals

    • Database design is the process of determining the tables and columns needed to create a database.
    • Understanding core database concepts and the process of normalization are critical for effective database design.

    Objectives

    • Understand the terms entity, attribute, and relationship.
    • Understand relation and relational database.
    • Understand functional dependence and recognize when one column is dependent on another.
    • Know the concept of a primary key and be able to identify primary keys in tables.
    • Design a database to meet specific requirements.
    • Convert an unnormalized relation into first normal form.
    • Convert tables from first normal form to second, then third normal form.
    • Create an entity-relationship diagram to represent database design.

    Introduction

    • Database design determines the tables and columns comprising a database.
    • Database concepts and normalization are essential.

    Database Concepts

    • Entity: person, place, thing, or event.
    • Attribute: property of an entity (like a characteristic or description).
    • Relationship: association between entities.
    • Functional dependence: one attribute determines another attribute's single value.
    • Primary key: unique identifier for a table.

    Relational Database

    • A collection of tables.

    Relational Database (Continued)

    • The provided example data (Figures 2-1, 2-1(continued), 2-1(continued), 2-1) shows sample data for Premiere Products. This includes details like sales representatives, customer information, and product information.

    Entities, Attributes, and Relationships

    • Entities (like nouns): represent things or concepts.
    • Attributes (like adjectives): describe entities.
    • Relationships: describe associations between entities.

    Entities, Attributes, and Relationships (Continued)

    • One-to-many relationship: one representative to many customers (for example). Implements by having a common table column.
    • Repeating groups: multiple entries for a single location in an individual table.

    ORDERS

    • This example table (Figure 2-2) shows order data with repeating groups.
    • Figure 2-3 presents the same data without the repeating groups

    Entities, Attributes, and Relationships (Continued)

    • A relation (table) is two-dimensional.
    • Entries are single-valued.
    • Each column has a distinct name.
    • All values in a column are from the same attribute (data type).
    • Order of columns does not matter.
    • Each row is distinct and order of rows does not matter.

    Entities, Attributes, and Relationships (Continued)

    • Use shorthand to represent tables and columns in a concise format.
      • REP (REP_NUM, LAST_NAME, FIRST_NAME, STREET, CITY, STATE, ZIP, COMMISSION, RATE)
      • CUSTOMER (CUSTOMER_NUM, CUSTOMER_NAME, STREET, CITY, STATE, ZIP, BALANCE, CREDIT_LIMIT, REP_NUM)
      • ORDERS (ORDER_NUM, ORDER_DATE, CUSTOMER_NUM)
      • ORDER_LINE (ORDER_NUM, PART_NUM, NUM_ORDERED, QUOTED_PRICE)
      • PART (PART_NUM, DESCRIPTION, ON_HAND, CLASS, WAREHOUSE, PRICE)

    Functional Dependence

    • Attribute B is functionally dependent on attribute A if a value for A determines a single value for B.
    • Sample data does not define functional dependency, but understanding users' policies and rules is critical.

    Functional Dependence

    • Figure 2-4 displays a REP table with a PAY_CLASS attribute.

    Primary Keys

    • A table's unique identifier is the primary key.
    • A column (or combination of columns) is a primary key if all columns in the table depend on it and no subset of columns has this property

    Database Design

    • A database is designed based on specific requirements.
    • Requirements are gathered through systems analysis.

    Design Method

    • Read requirements, identify entities, and name them.
    • Identify unique identifiers for entities.
    • Identify attributes for all entities.
    • Determine functional dependencies among attributes.
    • Use functional dependencies to identify tables.
    • Place each attribute with the minimum attributes or combinations on which it depends.
    • Identify relationships between tables.

    Database Design Requirements

    • For Premiere Products: store data about sales reps, customers, parts, orders, and order line items.
    • Specific constraints, like only one customer per order, may also apply. The quoted price might differ from the final price agreed upon in the order.

    Database Design Process Example

    • Apply requirements through six steps in the database design method.

    Normalization

    • Identify potential problems.

    • Correct problems using normalization techniques to eliminate redundant data.

    • Goal is to convert unnormalized relations (with repeating groups) into normal forms.

    Normalization (Continued)

    • First Normal Form (1NF): eliminates repeating groups from unnormalized relations.
    • Second Normal Form (2NF): improves upon 1NF by ensuring that non-key attributes fully depend on the entire primary key.
    • Third Normal Form (3NF): improves upon 2NF by eliminating transitive dependencies.

    First Normal Form (1NF)

    • Relation is in 1NF if it does not contain any repeating groups.
    • To convert an unnormalized relation to 1NF: expand the primary key to include the primary key of the repeating group; effectively eliminating the repeating group from the relation.
    • Figure 2-7 presents an unnormalized example.
    • Figure 2-8 provides a 1NF version of the same data.

    Second Normal Form

    • Redundancy leads to update anomalies (inconsistencies in data when adding, updating, or deleting records).
    • A relation is in 2NF if it's in 1NF and no non-key attribute depends on only part of the primary key – all non-key attributes depend on the entire primary key.
    • A primary key made up of a single field is automatically in 2NF.

    Third Normal Form

    • Update anomalies can still occur in 2NF.
    • Determinant: an attribute (or set of attributes) that determines another attribute.
    • Relation is in 3NF if it is in 2NF and the only determinants are candidate keys. Boyce-Codd Normal Form (BCNF) is a more precise name for 3NF.
    • Figure 2-12 shows a Customer table converted to 3NF.

    Diagrams for Database Design

    • Graphical illustration of table structure.
    • Entity-relationship (E-R) diagram: rectangles denote entities; arrows show relationships (one-to-many).
    • Figure 2-13, 2-14, and 2-15 show different E-R diagrams.

    Summary

    • Definitions: entity, attribute, relationship, relation, functional dependence, primary key.
    • Database design method.
    • Normalization: unnormalized, 1NF, 2NF, 3NF.
    • Entity-relationship (E-R) diagram

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    Description

    This quiz focuses on the essentials of database design, covering concepts such as entities, attributes, relationships, and normalization principles. You'll examine how to identify primary keys, understand functional dependence, and create entity-relationship diagrams. Test your knowledge on converting relations to different normal forms and the overall principles of effective database design.

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