Database Management Systems
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Questions and Answers

What do integer data types represent in relational databases?

  • Textual characters
  • Numbers with fractional values
  • Geometric information
  • Positive and negative integers (correct)
  • What is the main difference between CHAR and VARCHAR character data types?

  • One is a fixed string of characters, the other is a string of variable length (correct)
  • One represents date and time, the other represents integers
  • One represents geometric information, the other represents textual characters
  • One is used for decimal data, the other is used for binary data
  • What do decimal data types represent in relational databases?

  • Numbers with fractional values (correct)
  • Geometric information
  • Positive and negative integers
  • Date, time, or both
  • What is the purpose of binary data types in relational databases?

    <p>To store data exactly as it appears in memory or computer files</p> Signup and view all the answers

    What type of data does the DATE data type represent in relational databases?

    <p>Date, time, or both</p> Signup and view all the answers

    What is the main characteristic of VARCHAR character data types?

    <p>It has a string of variable length up to a specified maximum size</p> Signup and view all the answers

    What type of data does the BLOB data type represent in relational databases?

    <p>Binary data</p> Signup and view all the answers

    What is the main difference between INT and SMALLINT integer data types?

    <p>One is implemented as 4 bytes of storage, the other is implemented as 2 bytes</p> Signup and view all the answers

    What do spatial data types represent in relational databases?

    <p>Geometric information, such as lines, polygons, and coordinates</p> Signup and view all the answers

    What type of data does the TIMESTAMP data type represent in relational databases?

    <p>Date, time, or both</p> Signup and view all the answers

    Study Notes

    Big Data and Database Models

    • The rise of the internet in the 1990s generated big data, characterized by unprecedented data volumes and rapidly changing data structures.
    • Alternative database models and systems optimized for big data have appeared since 2000.
    • Relational databases have gradually improved support for big data and continue to dominate the commercial database market.

    Database Models

    • Hierarchical database model: uses a tree-like structure to organize data.
    • Network database model: uses a graph structure to organize data.
    • Linked list database model: uses a series of linked records to organize data.
    • Relational database model: uses tables with rows and columns to organize data.
    • Object-oriented database model: uses objects and classes to organize data.
    • Graph database model: uses vertices and edges to organize data.
    • Document-oriented database model: uses self-describing data structures such as XML and JSON.

    Relational Database Rules

    • Relational rules govern tables, including:
      • Exactly one value per cell.
      • Unknown data is represented with a special NULL value.
      • No duplicate column names.
      • No duplicate rows.
      • No row order.

    Data Types

    • INT or INTEGER: represents integer values.
    • VARCHAR(N): represents values with 0 to N characters.
    • DATE: represents date values.
    • DECIMAL(M, D): represents numeric values with M digits, of which D digits follow the decimal point.
    • Other data types include:
      • Spatial data types: store geometric information, such as lines, polygons, and map coordinates.
      • Binary data types: store data exactly as it appears in memory or computer files, bit for bit.

    SQL Statements

    • CREATE TABLE statement: creates a new table with specified columns and data types.
    • DROP TABLE statement: deletes a table, along with all its rows, from a database.

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    Description

    Explore the evolution of database management systems, from relational databases to alternative models optimized for big data. This quiz covers database structures, primary data structures, and product releases.

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