Data Storage Solutions Overview
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Questions and Answers

Which type of database is best suited for handling well-structured data?

  • Document database
  • Key-value store
  • Relational database (correct)
  • NoSQL database
  • What is one of the major issues relational databases face when managing large quantities of data?

  • Data redundancy
  • Integration with cloud services
  • User accessibility
  • Performance and speed (correct)
  • NoSQL databases are specifically designed to manage which type of data?

  • Compressed data
  • Encrypted data
  • Structured data
  • Unstructured data (correct)
  • What is a significant characteristic of NoSQL databases compared to relational databases?

    <p>They do not require a fixed structure for data storage.</p> Signup and view all the answers

    What has spurred the rise of NoSQL databases in organizations?

    <p>Demand for large quantities of unstructured data storage.</p> Signup and view all the answers

    Why might a company need to use a NoSQL database?

    <p>To handle data generated from the Internet of Things.</p> Signup and view all the answers

    What is meant by the term 'sharding' in the context of NoSQL databases?

    <p>The splitting of data across multiple servers</p> Signup and view all the answers

    What is a key advantage of NoSQL databases over relational databases?

    <p>Better handling of complex data structures</p> Signup and view all the answers

    For which type of organization are relational databases deemed more suitable?

    <p>Organizations that deal primarily with simple data sets</p> Signup and view all the answers

    Which of the following statements about NoSQL databases is true?

    <p>They allow for a more decentralized data infrastructure.</p> Signup and view all the answers

    Study Notes

    Data Storage Solutions

    • Global data volume is projected to reach 175 zettabytes by 2025, enough for 43 trillion movies.
    • "Big Data" impacts modern organizations significantly, especially regarding database types.

    Relational Databases

    • Ideal for smaller, structured data like sales transactions, employee/customer data, and inventory.
    • Struggles with large, unstructured "Big Data" due to performance, speed, cost, and compatibility issues.

    NoSQL Databases

    • Designed for large amounts of unstructured data from diverse sources.
    • Data not pre-defined or structured into tables/columns/rows.
    • Data "added as is" – flexible with various data types (text, integers, audio, images).
    • Example: Storing customer information (address, phone, delivery instructions or in-store preferences) can accommodate diverse data formats.
    • Data is stored across multiple servers ("sharding"), for enhanced scalability, speed, cost-efficiency and security.
    • Data retrieval/storage on sharded servers remains seamless to users.

    Choosing the Right Database

    • Relational databases are suitable for smaller, structured datasets.
    • NoSQL databases are essential for handling the massive, unstructured data of Big Data and IoT projects, which require more scalability, speed, cost efficiency and security.

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    Description

    Explore the differences and applications of relational and NoSQL databases in this quiz. Understand how they handle structured versus unstructured data, and the impact of big data on organizational data storage. Test your knowledge on data volume projections and database functionalities.

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