CC4057 Data Dictionary in Information Systems
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Questions and Answers

What is the purpose of the LIKE operator?

  • To specify multiple values in a WHERE clause
  • To perform arithmetic operations on columns
  • To calculate the sum of all values in a column
  • To search for a specified pattern in a WHERE clause (correct)
  • What does the IN operator allow you to do?

  • Perform a search for a specific pattern
  • Calculate the average value of a column
  • Give a temporary column name
  • Specify multiple values in a WHERE clause (correct)
  • Which of the following is NOT an aggregate function?

  • MIN()
  • SUM()
  • MAX()
  • LIKE() (correct)
  • What does the SUM() function do?

    <p>Calculates the sum of all values in a column</p> Signup and view all the answers

    What does the AS keyword do in SQL?

    <p>Gives a temporary column name</p> Signup and view all the answers

    Which aggregate function returns the maximum value of a column?

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

    What is the data dictionary used for?

    <p>To store metadata about the structure of a database</p> Signup and view all the answers

    Which aggregate function calculates the average value of a column?

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

    What is the purpose of arithmetic operations in SQL?

    <p>To perform calculations on column values</p> Signup and view all the answers

    Which of the following is NOT a valid aggregate function?

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

    Study Notes

    Data Dictionary

    • Describes the structure of the whole database
    • Organized in a spreadsheet format
    • Includes the names and descriptions of the tables and the fields contained in each table along with information of the data type, field length
    • Provides metadata, or information about data
    • No one set standard in terms of layout or information

    Entity-Relationship Modeling

    • A separate table is created for each entity of the database

    Constraints

    • Used to specify rules for the data in a table
    • Ensure the accuracy and reliability of the data
    • Types of constraints:
      • PRIMARY KEY: column that uniquely identifies each row in the table
      • FOREIGN KEY: column that refers to the primary key in another table, relates two tables
      • UNIQUE: ensure that all the values in a column are unique/different
      • NOT NULL: ensure that a column cannot have a NULL value
      • DEFAULT: set a default value for a column when no value is specified
      • AUTO_INCREMENT: allows a unique number to be generated automatically when a new record is inserted into a table

    Auto-Increment

    • Allows a unique number to be generated automatically when a new record is inserted into a table
    • Starting value for AUTO_INCREMENT is 1, and it will increment by 1 for each new record
    • Useful for generating a unique primary key for each new record inserted into a table

    SQL - WHERE Clause

    • Used to extract only those records that fulfill a specified criteria
    • Filter/search data
    • Operators:
      • Arithmetic Operators (+, -, *, /, %)
      • Comparison Operators (=, <>, !=, etc.)
      • Logical Operators (AND, OR, NOT)
      • BETWEEN: selects values within a range
      • IN: performs membership check
      • LIKE: searches for a specified pattern

    Aggregate Functions

    • SUM(): sum of all the values in a column
    • MAX(): maximum value of a column
    • MIN(): minimum value of a column
    • AVG(): average value of a column

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    Quiz Team

    Description

    Learn about the data dictionary, which describes the database structure in a spreadsheet format. It includes table and field names, data types, and more. Understand its role in providing metadata about data.

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