Introduction to Databases and RDBMS
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Introduction to Databases and RDBMS

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Questions and Answers

What is a Database Management System (DBMS)?

  • A software package that controls the creation, maintenance, and use of a database (correct)
  • A hardware component for storing data
  • A collection of unrelated data
  • A programming language for database manipulation
  • Relational databases do not guarantee data persistence.

    False

    What is meant by 'Impedance Mismatch' in the context of databases?

    The difference between the relational data model and in-memory data structures.

    _______ is the term for a set of name-value pairs in a relational database.

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

    Match the following database concepts with their definitions:

    <p>Tuple = A set of name-value pairs Relation = A set of tuples Concurrency control = Allows multiple users to affect multiple transactions Standard Model = Similar SQL dialects among different vendors</p> Signup and view all the answers

    Which of the following is NOT a characteristic of relational databases?

    <p>Support for complex structures</p> Signup and view all the answers

    XML and JSON provide a more flexible data structure than SQL for data exchange.

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

    What are the two scaling methods mentioned for databases?

    <p>Scale Up and Scale Out</p> Signup and view all the answers

    In a service-oriented architecture, better interaction protocols between __________ and databases are required.

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

    What does the term 'shared database integration' refer to?

    <p>Multiple applications storing their data in a single database</p> Signup and view all the answers

    Which of the following are characteristics of clustered relational databases?

    <p>Utilize a shared disk subsystem</p> Signup and view all the answers

    NoSQL databases require a schema to operate effectively.

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

    Name one example of a key-value store.

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

    DynamoDB is a type of ______ database that Amazon provides.

    <p>key-value</p> Signup and view all the answers

    Which of the following best describes a document store?

    <p>Stores data as individual documents</p> Signup and view all the answers

    Match the following NoSQL database types with their characteristics:

    <p>Key-value store = Schema-less model of key-value pairs Document store = Data stored as documents Wide-column store = Store information in columns Graph database = Model relationships in a graph structure</p> Signup and view all the answers

    What is one challenge faced by companies like Amazon and Google regarding databases?

    <p>Managing large clusters and voluminous datasets</p> Signup and view all the answers

    What does NoSQL stand for?

    <p>Not Only SQL</p> Signup and view all the answers

    Study Notes

    Introduction to Databases

    • A database is an organized collection of data
    • A Database Management System (DBMS) is software that controls the creation, maintenance, and use of a database

    Relational Databases

    • Relational Databases ensure persistent data storage, concurrency control through shared database integration, and a standard model for data management
    • Databases store data as tables and rows for organization
    • RDBMS have the same basic operations for different vendors, making them easily transferable

    Impedance Mismatch

    • There is a difference between the relational data model and the in-memory data structures
    • Relational data models organize data into tables and rows
    • SQL operations use “relations” - a set of tuples
    • Each tuple is a set of name-value pairs that cannot contain any structure, such as lists or nested records
    • In-memory data structures offer richer structure, requiring translation to a relational representation

    Data Structure in Memory

    • Different tables in a relational database can be split into many rows from a single data structure in memory

    Integration of Applications and Databases

    • Databases permit shared data storage between applications
    • Downsides include increased complexity and difficulty in maintaining integrity since the application may not be trusted

    Service Oriented Architecture

    • Requires enhanced interaction protocols between applications and databases
    • Web services offer a flexible data structure for communication
    • XML and JSON provide richer data structure than SQL

    Clustered Databases

    • Large data sets emerged in the early 2000s leading to the need for scalability in databases
    • "Scale Up" involves bigger machines with increased memory, processors, and disk storage
    • "Scale Out" utilizes many small machines arranged in a cluster using commodity hardware
    • Relational databases are not designed for clusters, leading to challenges in scalability

    Clustered RDBMS

    • Clustered RDBMS include Oracle RAC and MS SQL Server
    • They share a disk subsystem, which can be a single point of failure
    • Sharding the database addresses this by running separate servers for different sets of data

    Inspiring Approaches

    • Google and Amazon faced similar challenges while running large clusters and working with massive datasets
    • Google BigTable and Amazon Dynamo are examples of approaches implemented successfully

    NoSQL Databases

    • Stands for "Not Only SQL"
    • Operates without a schema and works with nonuniform data
    • NoSQL databases are more scalable and performance-oriented
    • Examples include Redis, Memcached, DynamoDB, MongoDB, and Cassandra

    Types of NoSQL Databases

    • Key-value store: Simplest form of NoSQL, organized as key-value pairs (e.g., Redis, Memcached, DynamoDB)
    • Document store: Stores data in document format (e.g., MongoDB)
    • Wide-column store: Data is stored in columns, enabling access to specific columns without allocating memory for irrelevant data (e.g., Cassandra)

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    Related Documents

    BDD300-week1-NOSQL.pdf

    Description

    This quiz covers the fundamental concepts of databases, including database types, the role of Database Management Systems (DBMS), and the structure of relational databases. Additionally, it addresses the challenges of impedance mismatch between relational models and in-memory data structures. Test your knowledge and understanding of these essential database principles.

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