Big Data Analysis of Structured and Unstructured Data Formats
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Big Data Analysis of Structured and Unstructured Data Formats

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Questions and Answers

What is the primary purpose of using Big Data analytics?

  • To visualize data in new ways
  • To store large amounts of data
  • To implement machine learning algorithms
  • To discover useful information and insights from large data sets (correct)

    • Which of the following is a key characteristic of Big Data?

  • Small data size
  • Structured data only
  • Slow processing speeds
  • Variety of data types (correct)

    • What technique is used in Big Data analytics to rank the importance of web pages?

  • MapReduce
  • Hadoop clustering
  • PageRank (correct)
  • Principal Component Analysis

    • Which of the following is a popular open-source framework used for Big Data processing?

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

    Which of the following is NOT a common type of Big Data?

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

    What common challenge often arises in Big Data analytics due to the use of different data sources?

    <p>Variety data inconsistency</p> Signup and view all the answers

    In the context of Big Data, why is it emphasized that 'Big' is a subjective word?

    <p>To highlight that the size of data is not the only defining factor</p> Signup and view all the answers

    Which aspect of Big Data highlights the need for considering the reliability and trustworthiness of data collected from various sources?

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

    When discussing Big Data, what misconception do many individuals have about the significance of 'Big'?

    <p>They believe 'Big' only denotes size</p> Signup and view all the answers

    Which characteristic of Big Data is often misunderstood as solely related to the quantity of data being processed?

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

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