Relational Database Fundamentals Quiz
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Questions and Answers

What is one reason for the importance of NoSQL DBMS?

  • Complex transactional data structure
  • Inability of Relational DB technology to meet Big Data processing needs (correct)
  • Increasing popularity of Google, Amazon, Facebook, and Netflix
  • High validation requirements for data
  • Which characteristic of data contributes to the rise of NoSQL DBMS?

  • Huge volume, high velocity, high variety, and no validation (correct)
  • Exclusive reliance on Cloud storage
  • Structured and validated data
  • Small volume and low velocity
  • What type of data structure is associated with NoSQL DBMS?

  • Complex transactional data structure
  • Network data structure
  • Hierarchical data structure
  • Simple non-transactional data structure (correct)
  • Which companies are mentioned as examples of using NoSQL DBMS?

    <p>Google, Amazon, Facebook, and Netflix</p> Signup and view all the answers

    What is the primary reason for the creation of NoSQL DBMS by large corporations?

    <p>Inability of Relational DB technology to meet Big Data processing needs</p> Signup and view all the answers

    What is a key characteristic of data that Relational DBMS cannot support?

    <p>Big Data with huge volume, high velocity, high variety, and no validation</p> Signup and view all the answers

    What is the role of Cloud in the processing of data by NoSQL DBMS?

    <p>Data is processed in large amount distributed in the Cloud</p> Signup and view all the answers

    What is a distinguishing feature of NoSQL DBMS in terms of data processing speed?

    <p>Processing data very rapidly</p> Signup and view all the answers

    What is the nature of data structure associated with NoSQL DBMS?

    <p>Nonrelational with simple data structure</p> Signup and view all the answers

    What is the primary reason for the inability of Relational DB technology to meet Big Data processing needs?

    <p>Data becoming more and more Big Data with huge volume, high velocity, high variety, and no validation</p> Signup and view all the answers

    What is a primary reason for the importance of NoSQL DBMS?

    <p>Relational DBMS cannot support Big Data processing needs</p> Signup and view all the answers

    What is a distinguishing feature of NoSQL DBMS in terms of data processing speed?

    <p>Processing data in large amounts distributed in the Cloud very rapidly</p> Signup and view all the answers

    What is the primary reason for the creation of NoSQL DBMS by large corporations?

    <p>Inability of Relational DB technology to meet Big Data processing needs</p> Signup and view all the answers

    What type of data structure is associated with NoSQL DBMS?

    <p>Simple non-transactional data structure</p> Signup and view all the answers

    What is a key characteristic of data that Relational DBMS cannot support?

    <p>Big Data (huge volume, high velocity, high variety, no validation)</p> Signup and view all the answers

    What is the role of Cloud in the processing of data by NoSQL DBMS?

    <p>Data is distributed in the Cloud for rapid processing</p> Signup and view all the answers

    What is one reason for the inability of Relational DB technology to meet Big Data processing needs?

    <p>Data is becoming more and more Big Data with huge volume, high velocity, high variety, and no validation</p> Signup and view all the answers

    Which characteristic of data contributes to the rise of NoSQL DBMS?

    <p>Data is becoming more and more Big Data</p> Signup and view all the answers

    What is a distinguishing feature of NoSQL DBMS in terms of data processing?

    <p>Processing data in large amount distributed in the Cloud very rapidly</p> Signup and view all the answers

    What is a key characteristic of data that Relational DBMS cannot support?

    <p>Big Data (huge volume, high velocity, high variety, no validation)</p> Signup and view all the answers

    Study Notes

    Why Business Professionals Need to Know Database Processing

    • Business professionals need to have a minimum knowledge about database processing because they work frequently with databases in various aspects (use, purchase, design, etc.)

    • In 2023, basic knowledge of database processing is a key skill for any business professional due to the complex nature of the field.

    • The database is the center of an Information System (IS); it guides the IS development, and users play a critical role in its development.

    What is a Database (DB)

    • A database is an organized collection of data with definite elements stored in a computer.
    • A database has three elements: tables, relationships, and data dictionary (metadata).
    • A table is composed of fields (data type and format), cells (data), and records (data set).
    • A primary key is a field that uniquely identifies each record in a table.
    • A foreign key is a field that is a primary key of another table, linking tables together.

    What is SQL

    • SQL (Structured Query Language) is a language used to query a database by selecting data.
    • SQL is used to manipulate data, modify the database schema, and grant user access to data.
    • SQL is a simple language that allows users to create, process, and administer a database.

    What is a Database Management System (DBMS)

    • A DBMS is an application used to create, process, and administer a database.
    • DBMS activities include memorization, security, concurrency, fault tolerance, and recovery.
    • DBMS examples include commercial DBMS (e.g., Oracle, Microsoft SQL Server) and open-source DBMS (e.g., MySQL).

    What is Database Processing

    • Database processing is the process of retrieving information from data stored in a database.
    • A database application system consists of a database, a DBMS, and a database application.
    • A database application system is a distributed application that uses a 3-tier architecture.

    How to Build a Database

    • Building a database involves data modeling and database design.
    • Data modeling describes the data to be stored in the database using an E-R diagram.
    • Database design transforms entities into tables and relationships between entities into relationships using keys.

    Why NoSQL DBMS is Becoming Important

    • The increasing amount of data, its high velocity, and great variety (Big Data) require NoSQL DBMS.

    • Big Data is characterized by the 4Vs: volume, velocity, variety, and veracity.

    • NoSQL DBMS are becoming important due to their ability to handle large amounts of unstructured and semi-structured data.### Why Business Professionals Need to Know about Database Processing

    • Business professionals need a minimum knowledge of database processing to work with data collected in databases.

    • Acquiring this skill is useful for every career, as data is collected and stored in databases in every organization.

    What is a Database (DB)?

    • A database is an organized collection of data with definite elements stored in a computer.
    • Data is useless without a way to extract information from it.
    • Information is not the same as data; it is located inside a person, not a computer, and varies from person to person.
    • The DIKW Pyramid is a hierarchical model that categorizes and simplifies the key concepts involved in cognitive processes to create information systems capable of managing large amounts of data.

    Structure of a Database

    • A database consists of tables, relationships, and a data dictionary.
    • A table is a collection of data with columns (fields) and rows (records).
    • A field defines a data type and content, and a value defines a data in a specific format.
    • A primary key is a field that uniquely identifies the records in a table.
    • A foreign key is a field that is a primary key of a different table.
    • Relationships between tables are used to eliminate redundant data.
    • The data dictionary holds metadata, which is data about the database schema and data.

    Relational Databases

    • A relational database is obtained using tables, relationships, and a data dictionary.
    • The name "relational" comes from the process of dividing tables into smaller tables and recombining them using relationships.
    • Relational databases are the most popular type of database, and SQL is used to extract information from them.

    What is SQL?

    • SQL (Structured Query Language) is a language used to query a database.
    • SQL is not only used to select data but also to manipulate data, modify the database schema, and define user access.
    • SQL is a powerful and simple language that can be used to create, process, and administer a database.

    What is a Database Management System (DBMS)?

    • A DBMS is an application used to create, process, and administer a database.
    • A DBMS is used to manage the database structure, store and retrieve data, and provide user access.
    • DBMS activities include memorization, security, concurrency, fault tolerance, and recovery.
    • Examples of DBMS include commercial and open-source options.

    What is Database Processing?

    • Database processing is the process of retrieving information from data stored in a database.
    • Database processing needs a DBMS and a database application.
    • A database application system is the sum of a database, a DBMS, and a database application.
    • A database application system is a distributed application that uses a 3-tier architecture.

    Building a Database

    • The building of a database consists of two main activities: data modeling and database design.
    • Data modeling creates a logical representation of the database using entities and relationships.
    • The E-R model is a tool used for data modeling, which uses boxes for entities and lines for relationships.
    • Database design transforms entities into tables and relationships into relationships using keys.
    • The result of database design is a database schema.

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    Description

    Test your knowledge of databases with this quiz! Explore the fundamental elements of a relational database, such as tables, relationships, and data dictionaries. Learn why Excel is not considered a database and delve into the power of structured query language for extracting valuable information from data.

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