Which of the following is not one of the characteristics that distinguish big data from traditional data?

General
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which of the following is not one of the characteristics that distinguish big data from traditional data?

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Which of the following is not one of the characteristics that distinguish big data from traditional data?

Answer:

In order to understand which characteristic might not distinguish big data from traditional data, let’s first look at the commonly accepted characteristics that define big data, often referred to as the “3 Vs”:

  1. Volume: Big data involves large amounts of data that require significant storage capacity and processing power. Traditional data typically deals with smaller datasets.

  2. Velocity: This refers to the speed at which data is generated and processed. Big data systems are designed to handle continuous input of data often in real-time, whereas traditional data might be processed in batches over more extended periods.

  3. Variety: Big data can include a wide array of data types, from structured data to unstructured data like videos, texts, and social media posts. Traditional data is often structured and more uniform.

There are additional “Vs” that are sometimes added, including:

  1. Veracity: The quality and accuracy of the data. Big data often comes from various sources and can be less reliable, requiring more effort in data cleansing.

  2. Value: The potential insights and benefits that can be derived from analyzing the data.

So, if you were asked to identify a characteristic that is not one of these key distinctions, it might be something not commonly associated with data categorization in these terms, such as “Visualization” or “Vividness,” which are often results of data analysis rather than inherent properties of big data itself.