Internet of Things (IoT) Practice Exam 2025 – Comprehensive Prep Resource

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What does 'velocity' in big data refer to?

The speed of data processing and analysis

'Velocity' in the context of big data primarily refers to the speed at which data is generated, processed, and analyzed. This concept highlights the importance of the rapid influx of data that organizations must manage and utilize in real-time to gain insights and make informed decisions. As businesses and technologies evolve, they generate data at an unprecedented pace, necessitating systems that can quickly handle, process, and derive value from this data stream.

While the other aspects mentioned in the options, such as the quantity of data (volume), diversity of data types (variety), and accuracy (veracity), are also crucial dimensions of big data, they do not align with the specific definition of velocity. Each of these components plays a role in the overall big data landscape, but velocity distinctly emphasizes the processing speed and timely relevance of data.

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The quantity of data generated

The diversity of data types

The accuracy of data collected

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