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Questions and Answers

Which characteristic defines a good business rule?

  • It needs to focus on the how rather than the what.
  • It must have a clear, agreed-upon meaning. (correct)
  • It should be verbose to cover all aspects.
  • It should incorporate technical jargon for precision.
  • Which of the following best describes the term 'Entity Type'?

  • A collection of entities corresponding to a database table. (correct)
  • An unstructured data format used in databases.
  • A unique identifier for each entity in a relationship.
  • A specific instance of an entity in a database.
  • What does a timestamp model help in data handling?

  • Establishes relationships between unrelated entities.
  • Allows for redundancy in data storage.
  • Tracks changes in time-dependent data. (correct)
  • Models data that is static and unchangeable.
  • Which type of relationship involves links between three different entity types?

    <p>Ternary relationship</p> Signup and view all the answers

    What is a defining characteristic of a good data name?

    <p>It must be unique and meaningful.</p> Signup and view all the answers

    Which of the following statements about appropriate entities in a database is accurate?

    <p>An object that has multiple attributes and many instances in the database.</p> Signup and view all the answers

    Which classification of attributes refers to those that may or may not have a value?

    <p>Optional Attributes</p> Signup and view all the answers

    Which statement is true regarding identifiers in a database?

    <p>Identifiers should never be null and should not change in value.</p> Signup and view all the answers

    What is the best definition of a candidate identifier?

    <p>An attribute that meets the criteria to be considered as a key.</p> Signup and view all the answers

    What characterizes a multivalued attribute in the context of a database system?

    <p>An attribute that allows for multiple entries for a single instance of an entity.</p> Signup and view all the answers

    Study Notes

    Business Rules

    • Define or constrain aspects of a business.
    • Assert business structure and control business behavior.
    • Expressed in terms relevant to end users.
    • Automated through Database Management Systems software.

    Good Business Rules

    • Declarative: Focus on "what" rather than "how".
    • Precise: Clearly defined and agreed-upon meaning.
    • Atomic: Each rule should be a single, independent statement.
    • Consistent: Internal and external consistency in rules.
    • Expressible: Structured using natural language.
    • Distinct: Avoid redundancy in rules.
    • Business-oriented: Understood by business people.

    Good Data Names

    • Related to business characteristics, not technical aspects.
    • Meaningful and self-documenting for easy understanding.
    • Unique to avoid confusion.
    • Readable for easy interpretation.
    • Composed of words from an approved list for consistency.
    • Repeatable for uniformity.

    Data Definitions

    • Explanations of terms or facts.
    • Terms represent words or phrases with specific meanings.
    • Facts denote an association between two or more terms.
    • Guidelines for creating good definitions:
      • Gather definitions during systems requirement analysis.
      • Accompany definitions with diagrams for visual representation.
      • Iteratively refine definitions through collaboration.
      • Achieve consensus on definitions.

    E-R Model Constructs

    • Entities:
      • Entity instance: A specific person, place, object, event, or concept (often corresponds to a row in a table).
      • Entity type: A collection of entities (often corresponds to a table).
    • Relationships:
      • Relationship instance: Links between entities (corresponds to primary key-foreign key equivalencies in related tables).
      • Relationship type: Categories of relationships linking entity types.
    • Attribute: A property or characteristic of an entity or relationship type (often corresponds to a field in a table).

    Entity Rules

    • Should be:
      • An object with many instances in the database.
      • An object composed of multiple attributes.
      • An object being modeled.
    • Should not be:
      • A user of the database system.
      • An output of the database system (e.g., a report).

    Attribute Classifications

    • Required vs. Optional: Whether an attribute must be present for each entity instance.
    • Simple vs. Composite: Whether an attribute is a single value or broken down into components.
    • Single-Valued vs. Multivalued: Whether an attribute can hold one value or multiple values for each instance.
    • Stored vs. Derived: Whether an attribute is physically stored or calculated from other attributes.
    • Identifier Attributes (Keys): Attributes that uniquely identify individual instances of an entity type.

    Identifier Characteristics

    • Unchanging in value.
    • Not null.
    • No intelligent identifiers (e.g., containing locations or people that might change).
    • Substitute simple keys for complex composite keys.

    Relationship Types and Instances

    • Relationship type: Modeled as lines between entity types. Represents the category of association.
    • Relationship instance: Instances of the relationship type linking specific entity instances.
    • Relationships can have attributes that describe features of the association between entities.
    • Two entities can have multiple relationship types between them.
    • Associative Entity: Combines elements of relationships and entities, representing an association with attributes.

    Degree of Relationships

    • Unary: A relationship between instances of the same entity type.
    • Binary: A relationship between two different entity types.
    • Ternary: A relationship between three different entity types.

    Cardinality of Relationships

    • One-to-One: Each entity on both sides has exactly one related entity.
    • One-to-Many: One entity can have multiple related entities on the other side, but each entity on the other side can only have one related entity.
    • Many-to-Many: Both entities can have multiple related entities on the other side.

    Cardinality Constraints

    • Define the number of instances of one entity that can or must be associated with each instance of another entity.
    • Minimum Cardinality:
      • Zero: Optional relationship.
      • One or more: Mandatory relationship.
    • Maximum Cardinality: The maximum number of instances allowed in the relationship.

    Strong vs. Weak Entities

    • Strong entity: Exists independently. Has its own unique identifier.
    • Weak entity: Dependent on a strong entity (identifying owner). Cannot exist without the strong entity. Does not have a unique identifier (only a partial identifier).
    • Identifying Relationship: Links strong entities to weak entities.

    Associative Entities

    • Combine characteristics of relationships and entities.
    • Have attributes.
    • Used when:
      • All relationships for the associative entity are many-to-many.
      • The entity has meaning independent of the other entities.
      • The associative entity has a unique identifier and other attributes.
      • The associative entity participates in relationships beyond the original associated entities.
      • Ternary relationships need to be modeled.

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