Database Normalization
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Questions and Answers

A database in Third Normal Form (3NF) is also in Second Normal Form (2NF).

True

Denormalization is a process of organizing data to minimize data redundancy and dependency.

False

In Entity-Relationship (ER) Modeling, attributes are associations between entities.

False

Physical Data Model represents the database structure and relationships, including storage and access methods.

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

Data redundancy is a technique to ensure data consistency in a database.

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

GIMP is a commercial raster graphics editor.

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

GIMP supports multiple layers and layer blending modes.

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

GIMP only supports JPEG and PNG file formats.

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

GIMP's scripting and automation capabilities are limited to Python.

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

GIMP's user interface is not customizable.

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

Study Notes

Database Design

Normalization

  • Process of organizing data to minimize data redundancy and dependency
  • Normalization rules:
    1. First Normal Form (1NF): Each table cell must contain a single value
    2. Second Normal Form (2NF): Each non-key attribute in a table must depend on the entire primary key
    3. Third Normal Form (3NF): If a table is in 2NF, and a non-key attribute depends on another non-key attribute, then it should be moved to a separate table

Entity-Relationship (ER) Modeling

  • Entities: Objects or concepts that have existence and can be distinct
  • Attributes: Characteristics or features of entities
  • Relationships: Associations between entities
  • ER Diagrams: Visual representations of entities, attributes, and relationships

Database Schema Design

  • Logical Design: Define the database structure and relationships between entities
  • Physical Design: Define the storage and access methods for the database
  • Schema: The overall structure of the database, including tables, relationships, and constraints

Data Modeling

  • Conceptual Data Model: High-level representation of the database structure and relationships
  • Logical Data Model: Detailed representation of the database structure and relationships
  • Physical Data Model: Representation of the database structure and relationships, including storage and access methods

Database Normalization Rules

  • Denormalization: Intentionally denormalizing a database for performance or scalability reasons
  • Data redundancy: Storing the same data in multiple places, which can lead to data inconsistencies
  • Data integrity: Ensuring the accuracy, completeness, and consistency of data in a database

Database Design

  • Normalization: The process of organizing data to minimize data redundancy and dependency.
  • Normalization rules:

    First Normal Form (1NF)

    • Each table cell must contain a single value.

    Second Normal Form (2NF)

    • Each non-key attribute in a table must depend on the entire primary key.

    Third Normal Form (3NF)

    • If a table is in 2NF, and a non-key attribute depends on another non-key attribute, then it should be moved to a separate table.

Entity-Relationship (ER) Modeling

  • Entities: Objects or concepts that have existence and can be distinct.
  • Attributes: Characteristics or features of entities.
  • Relationships: Associations between entities.
  • ER Diagrams: Visual representations of entities, attributes, and relationships.

Database Schema Design

  • Logical Design: Defines the database structure and relationships between entities.
  • Physical Design: Defines the storage and access methods for the database.
  • Schema: The overall structure of the database, including tables, relationships, and constraints.

Data Modeling

  • Conceptual Data Model: A high-level representation of the database structure and relationships.
  • Logical Data Model: A detailed representation of the database structure and relationships.
  • Physical Data Model: A representation of the database structure and relationships, including storage and access methods.

Database Normalization Rules

  • Denormalization: Intentionally denormalizing a database for performance or scalability reasons.
  • Data redundancy: Storing the same data in multiple places, which can lead to data inconsistencies.
  • Data integrity: Ensuring the accuracy, completeness, and consistency of data in a database.

GIMP Overview

  • GIMP (GNU Image Manipulation Program) is a free and open-source raster graphics editor.
  • GIMP is similar to Adobe Photoshop, but available at no cost.

Image Editing Features

  • Selection Tools:
    • Include rectangular and elliptical marquee tools
    • Include lasso tool (freehand, polygon, and magnetic)
    • Allow selecting by color, bevel, and fuzzy
  • Image Enhancement:
    • Allow adjustments for brightness, contrast, and color balance
    • Support Curves and Levels editing
    • Feature content-aware tools for removing objects or filling selections
  • Layers and Masks:
    • Support multiple layers and layer groups
    • Allow layer blending modes and opacity control
    • Feature masking tools for non-destructive editing
  • Effects and Filters:
    • Include built-in filters for blur, distort, and artistic effects
    • Support plugins and scripts
    • Allow creating custom filters and effects

Additional Features

  • Support for Various File Formats:
    • Support popular formats like JPEG, PNG, GIF, and more
    • Allow importing and exporting files in various formats
  • Scripting and Automation:
    • Support scripting in languages like Python and Scheme
    • Allow automating tasks using scripts and macros

User Interface and Customization

  • Customizable Interface:
    • Support custom themes and layout
    • Allow rearranging and customizing toolbars and menus
  • Single-Window Mode:
    • Allow combining all images and tools in a single window
    • Simplify workflow and reduce clutter

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Description

Test your understanding of database normalization rules, including 1NF, 2NF, and 3NF. Learn how to minimize data redundancy and dependency.

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