The 3 Vs of Big Data


Big Data Analytics

Businesses be it big or small have a huge responsibility of managing the data they're collecting. In some cases, this can be done using excel sheets and similar tools but in the case of companies with humongous amounts of data, the traditional data processing techniques are not very useful and this is where Big Data Analytics come into the picture. 

The 3 Vs of Big Data

Image result for 3 vs of big data"


To make sense of the above statement, experts have broken down the concept of Big Data into three segments. They are:

  1. Velocity: Velocity refers to rate at which data is coming in and this is perhaps the most important aspect of the three and as Amazon's CEO Jeff Bezos rightly said, “speed matters in business”. With this he meant that companies who are good at making high velocity decisions will have an advantage in terms of speed and this can be done by processing the high volumes of data coming in at a high velocity using Big Data Analytics.
  1. Volume: The ‘Big’ in Big Data refers to the sheer volume of the data that defines Big Data. To put this in perspective, Facebook users alone upload 900 million photos on a daily basis. These users are more than the population of China and the ‘volume’ of this data is insanely large and needs Big Data analytics to process.
  1. Variety: The above example I gave in regards to Facebook photos being uploaded was just one type of data. There are other forms of data like posts, likes, comments and this data isn’t always structured. Thus, variety refers to data both structured and unstructured with 90% of it being unstructured thus requiring some pre processing before the data starts to make sense.


References

https://www.forbes.com/sites/brentdykes/2017/06/28/big-data-forget-volume-and-variety-focus-on-velocity/

https://www.zdnet.com/article/volume-velocity-and-variety-understanding-the-three-vs-of-big-data/

https://hackernoon.com/the-3-vs-of-big-data-analytics-1afd59692adb

https://www.whishworks.com/blog/big-data/understanding-the-3-vs-of-big-data-volume-velocity-and-variety









Comments

  1. Gozde BaliogluFebruary 4, 2020 at 3:33 PM

    It is an useful article to gain more insight about big data! Thanks for sharing

    ReplyDelete
    Replies
    1. Akshay KanojiaFebruary 7, 2020 at 4:33 AM

      Glad I could help! Thank you so much for the feedback!

      Delete
  2. IselaTorresFebruary 6, 2020 at 7:17 AM

    Love your article! Thanks for sharing!

    ReplyDelete
    Replies
    1. Akshay KanojiaFebruary 7, 2020 at 4:33 AM

      Glad I could help! Thank you so much for the feedback!

      Delete
  3. Dylan O'ReganFebruary 7, 2020 at 4:35 AM

    Great blog with insightful and useful information aplenty

    ReplyDelete
  4. (ADI)GIT_blogFebruary 11, 2020 at 10:11 AM

    Well explained. I am looking forward to read more of your work.

    ReplyDelete
  5. Shubham MehtaFebruary 15, 2020 at 5:27 AM

    Totally agree with your opening statement here. Good job

    ReplyDelete
  6. Oksana ShevchukFebruary 19, 2020 at 9:14 AM

    Good and informative article! Well done.

    ReplyDelete
  7. UnknownFebruary 23, 2020 at 9:51 AM

    Very well written article Akshay. Keep up !

    ReplyDelete
  8. Colin AlmeidaFebruary 24, 2020 at 12:40 PM

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

    ReplyDelete
  9. RennerFebruary 25, 2020 at 8:28 AM

    Very well written article Akshay. Keep up !

    ReplyDelete
  10. UnknownFebruary 25, 2020 at 8:59 AM

    Very well written article.. Keep it up!

    ReplyDelete
  11. UnknownFebruary 25, 2020 at 9:06 AM

    Love your article. Keep it up..

    ReplyDelete
  12. UnknownFebruary 25, 2020 at 9:09 AM

    Very good 👍👌 keep it up

    ReplyDelete
  13. UnknownFebruary 25, 2020 at 9:44 AM

    Great work

    ReplyDelete
  14. UnknownFebruary 25, 2020 at 9:52 AM

    Very well written 👍

    ReplyDelete
  15. Dylan O'ReganFebruary 25, 2020 at 10:23 AM

    Superb blog with many useful insights. Well done and great work

    ReplyDelete
  16. GleritaFebruary 25, 2020 at 10:33 AM

    Very well written article Akshay. Keep up the good work!

    ReplyDelete
  17. MelissaFebruary 25, 2020 at 1:22 PM

    Good and clear article. Thanks for sharing

    ReplyDelete
  18. Sumesh S DasFebruary 25, 2020 at 4:35 PM

    Thanks for sharing the info

    ReplyDelete
  19. Aniket MalvankarFebruary 25, 2020 at 5:45 PM

    Nicely written blog. Keep it up Akshay!

    ReplyDelete

Post a Comment

Popular posts from this blog

How Big Data is helping Marketers improve Customer Experience.

Image
Big Data and how it's revolutionizing Customer Experience Corporate operations decision making has started to get influenced by Big Data hugely in recent times and the two areas facing a major impact are Sales and Marketing. Since its inception, Big data has helped marketers answer two questions which have stymied them for a long time and they are: 1.     When do consumers buy what and at what price do they buy it for? 2.     Is there a link between what consumers hear and read to what they actually buy? Fig 1. (Blockgeni, 2019) Marketers leveraging Big Data to get insights on how their consumers think need to do this in a strategic manner to make sure they can not only answer these questions but also maximize customer loyalty and stickiness with their firms. The priority should never be what will influence the users next purchase or how much is the user willing to spend on his next transaction but rather it should be what will make ...
Read more

Introduction to Big Data

Image
What is Big Data ? As the name suggests, Big Data is simply data sets which are much larger in volume as compared to conventional data sets and can't be processed using traditional data processing softwares. This data is collected by organizations and used for machine learning projects, predictive modeling and other such applications. The 3 V's associated with Big Data give us a better understanding of the concept. They are: Volume - In the case of Big Data the volume of data which is being processed is very high and this could range anywhere between tens of terabytes for some companies and hundreds of petabytes for others.  Velocity - The rate at which data is received is called velocity and this velocity is high in the  case of Big Data as it deals with data generated in real time or near real time scenarios which require real time evaluation. Variety - As opposed to Traditional data sets which is structured Big Data mostly consists of data which is mostl...
Read more