Big Data Explained: The 3V's



As we know now, Big Data is all that data that is beyond the processing capabilities of traditional methods; It is data that is too big, too complex or moves too fast to be processed by a a traditional database and has to be analysed by an alternative method. There are 3 defining properties or concepts of Big Data, that help to break down what "big data" means and to identify its variation from traditional data. (Dumbill, 2012)

VOLUME:

This one is probably the most obvious and truthful to its name, volume is referred to the amount of data that is collected and or processed; the volume of data that is not only already existing but also the amount of data that has been growing at a rapid rate and its received, in some occasions, close to real time or in real time. The true benefit of this comes from being able to process a big amount of data in order to predict demand or problems in a more accurate and faster way.  Many companies already count with big amounts of data but doesn't not count with an accurate enough software or database big enough to process such information. (Big Data LDN, 2017)


VELOCITY:


Velocity essentially measures how fast the data is coming in, some data will arrive in real time while others will arrive in batches. Some years ago data will use to come in batches, companies used to analyse it and come to conclusion, maybe too late, maybe inaccurately; today with the amount of data coming in real time via new sources like mobile and social apps, the amount of data does not only grows but it comes at a faster rate, allowing companies to analyse it in real time without having to jump to conclusions and being able to offer not only personalised solutions but to predict behaviours and future requests. (Soubra, 2012)


VARIETY:

As its name says variety constitutes how the information is presented, one does not have control over data formats and arrangements anymore, as new applications are introduce new formats are introduced as well, information once processed in traditional ways such as excels and csv are now being presented in non traditional ways like videos, jpgs, graphics, infographics, etc, which requires more time and work to be analysed and processed. 

In conclusion the 3Vs of Big Data are concepts that help providing new opportunities to utilise and process data in order to generate business opportunities and solutions. (Big Data LDN, 2017)








References:
1. Big Data LDN. (2020). Big Data: The 3 Vs explained | BIG DATA LDN. [online] Available at: https://bigdataldn.com/intelligence/big-data-the-3-vs-explained/ [Accessed 9 Feb. 2020].
2. Dumbill, E. (2012). Volume, Velocity, Variety: What You Need to Know About Big Data. [Blog] Forbes. Available at: https://www.forbes.com/sites/oreillymedia/2012/01/19/volume-velocity-variety-what-you-need-to-know-about-big-data/ [Accessed 8 Feb. 2020].
3.Soubra, D. (2012). The 3Vs that define Big Data. Data Science Central. [online] Available at: https://www.datasciencecentral.com/forum/topics/the-3vs-that-define-big-data [Accessed 7 Feb. 2020].


Comments

  1. Really interesting article about 3Vs and how they are part of the big data world. Well done.

    ReplyDelete
    Replies
    1. Thank you so much for your comment, I really appreciate it!

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  2. Concise, yet informative at the same time. Great job, Chris!

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    Replies
    1. Thank you so much, exactly what I wanted to express.

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  3. Superb and informative blog Chris, keep up the great work

    ReplyDelete
    Replies
    1. Thank you so much Dylan, I highly appreciate your comment

      Delete
  4. Great explanation of Big Data characteristics!

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  5. Interesting article, very practical to understand how to analyse big data

    ReplyDelete
  6. Thank You. I have a better understanding of 3Vs now.

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