Database Design Phase: Conceptual Design
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Questions and Answers

What is the main objective of the data analysis step in the conceptual design phase?

  • To identify the characteristics of data and information needed (correct)
  • To design a conceptual data model
  • To normalize the entities in the ER model
  • To translate the conceptual model to a logical model
  • What is the purpose of the entity relationship diagram in the conceptual design phase?

  • To normalize the entities in the ER model
  • To map the conceptual model to a logical model
  • To validate the logical model using normalization
  • To define business rules and identify main entities (correct)
  • What is the output of the conceptual design phase?

  • A conceptual data model (correct)
  • A physical data model
  • A normalized ER model
  • A logical data model
  • What is the purpose of data model verification in the conceptual design phase?

    <p>To verify the ER model against business data requirements and constraints</p> Signup and view all the answers

    What is the main objective of the logical design phase?

    <p>To translate the conceptual model to a logical model</p> Signup and view all the answers

    What is the primary goal of physical design in database development?

    <p>To ensure the integrity, security, and performance of the database</p> Signup and view all the answers

    What is the final outcome of the physical design stage?

    <p>A final internal schema</p> Signup and view all the answers

    Which of the following changes can be made to the database during the physical design stage?

    <p>Adding external features and indexes</p> Signup and view all the answers

    What is the purpose of denormalization in physical design?

    <p>To optimize data storage and access</p> Signup and view all the answers

    How many steps are involved in the physical design process?

    <p>3</p> Signup and view all the answers

    Study Notes

    Database Design Phase

    • The database design phase consists of three stages: conceptual design, logical design, and physical design.

    Conceptual Design

    • The conceptual design stage consists of three steps.
    • Step 1: Data Analysis
      • Identify the characteristics of data
      • Determine what kind of information is needed
      • Establish what outputs are expected
      • Identify who will use the information and how it will be used
      • Determine where the information will come from and how it will be extracted
      • Identify the data elements needed to produce the information and their relationships
    • Step 2: Entity Relationship (Conceptual Data Model)
      • Define, analyze, and revise business rules
      • Identify main entities and their relationships
      • Define attributes, primary keys (PK), and foreign keys (FK)
      • Normalize entities
      • Complete and validate the initial Entity-Relationship Diagram (ERD)
      • The conceptual data model consists of conceptual schemas and external schemas
    • Step 3: Data Model Verification
      • Verify the ER model against business data requirements and constraints
      • Verify the ER model against end-user data views

    Logical Design

    • The logical design stage translates the conceptual model into a format suitable for a specific database management system.
    • The logical design has four steps:
      • Map the conceptual model to logical model components
      • Validate the logical model using normalization
      • Validate the logical model's integrity constraints
      • Validate the logical model against user requirements

    Physical Design

    • The physical design stage defines the data storage organization and data access characteristics of the database.
    • The physical design has three steps:
      • Define data storage organization
      • Define integrity and security measures
      • Determine performance measurements
    • A final internal schema is developed in this stage.
    • Changes that can be made during this stage include:
      • Adding external features such as indexes and views
      • Reorganizing stored data, such as clustering files
      • Splitting a table into multiple tables
      • Changing attributes in a table, such as substituting foreign keys
      • Adding attributes to a table, creating new primary keys, and storing derived data
      • Combining tables, such as in a one-to-one relationship
      • Adding new tables, duplicating tables, or adding subset tables
      • Denormalization, such as combining tables to improve performance

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    Description

    Learn about the conceptual design phase of database design, including data analysis, identifying information needs, and sources of information. Test your knowledge of database design concepts.

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