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    ADDITIONAL VS OF BIG DATA

    In 2012, Gartner updated its definition for BigData as high volume, high velocity, and/or high variety information assets. Volume, Velocity and Variety are called as the 3 Vs of Big Data.

    Many researchers have introduced many Vs to the list of 3Vs, saying 3Vs are not enough.

    Bernard Marr in an article in linkedin describes 5Vs: Volume, Velocity, Variety, Veracity and Value.

    An article in dataconomy.com says about 7 Vs:  Volume, Velocity, Variety, Veracity, Variability, Value, Visualization.

    Lynda.com’s Techniques and Concepts of Big Data with Barton Poulson, mention around 10 Vs: Volume, Velocity, Variety, Veracity, Validity, Variability, Value, Venue, Vocabulary, and Vagueness.

    Below is a quick summary of most of these additional Vs:

    1. Veracity (conformity to facts; accuracy)
      • Refers to the trustworthiness of the data. Does the data actually contain enough information to make accurate conclusions.
    2. Validity
      • Is the data clean and well-managed, meeting the requirements for the data processing.
    3. Variability
      • Data or its meaning can change over time and even place, due to many uncontrolled factors; you need to measure and account for them.
    4. Value
      • Does it have enough value for the time and effort you invest in them.
    5. Visualization
      • Once data has been processed, presenting the data in a manner that’s readable and accessible.
    6. Venue
      • If the venue or location affect access to the data.
    7. Vocabulary
      • Vocabulary refers to the metadata that describes the data and is significant especially when combining data from very different sources. Different sources may call the same thing with different names.
    8. Vagueness
      • If the researcher is clear on the goals and purpose of the research; or else he will be wasting a lot of time.

    REFERENCES: 

    1. https://www.linkedin.com/pulse/20140306073407-64875646-big-data-the-5-vs-everyone-must-know 
    2. http://dataconomy.com/seven-vs-big-data/
    3. http://enterprisearchitects.com/the-5v-s-of-big-data/
    4. Volume, Velocity and Variety are usually called as the 3 Vs of BigData and was introduced by META Group (now Gartner) analyst Doug Laney in a 2001 research report and related lectures. 

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