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A company upgraded production machinery to capture data about the fit tolerance for assembled parts of each unit produced. Before the upgrade, inspectors created the same data by sampling 10 percent of units produced. The upgrade represents an increase in.

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The upgrade in production machinery to capture data about the fit tolerance for assembled parts of each unit produced represents an increase in: data volume.

Big data can be defined as huge collections of data that are typically difficult for users to process, analyze, and manage through the use of conventional data tools.

Basically, big data comprises five (5) "Vs" and these are:

  • Velocity
  • Veracity
  • Value
  • Variety
  • Volume

Data volume refers to the amount of data that are stored in a database by an organization for analysis and processing. Thus, data volume represents an organization's data size.

In this scenario, the upgrade in production machinery to capture data about the fit tolerance for assembled parts of each unit produced represents an increase in data volume.

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