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    Question

    Which of the following characteristics best

    differentiates Big Data from Traditional Data ?
    A Big Data uses SQL databases, while Traditional Data uses NoSQL databases. Correct Answer Incorrect Answer
    B Big Data is defined by high volume, velocity, and variety, while Traditional Data is structured and limited in scale. Correct Answer Incorrect Answer
    C Big Data does not require any processing, whereas Traditional Data requires extensive cleaning. Correct Answer Incorrect Answer
    D Traditional Data is used for predictive analytics, while Big Data is only for real-time analytics. Correct Answer Incorrect Answer
    E Big Data cannot be stored on physical servers, whereas Traditional Data can. Correct Answer Incorrect Answer

    Solution

    Explanation: Big Data refers to large, complex datasets characterized by the 3Vs —volume (sheer size of data), velocity (speed of data generation and processing), and variety (structured, unstructured, and semi-structured formats). Traditional Data, on the other hand, is smaller in scale, structured, and typically managed using relational databases like SQL. Big Data technologies (e.g., Hadoop, Spark) handle vast datasets, enabling advanced analytics such as machine learning and real-time processing, whereas Traditional Data is used for routine business operations and small-scale analytics. Understanding these differences is critical for selecting appropriate tools and techniques for data analysis. Option A: Both SQL and NoSQL databases can handle traditional and Big Data, depending on use cases. Option C: Big Data often requires significant preprocessing and cleaning due to its complexity. Option D: Both can be used for predictive and real-time analytics; it depends on the tools and methods used. Option E: Big Data can be stored on physical servers; distributed systems are used for scalability.

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