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What are the three Vs of Big Data? Give two examples of big data case studies. Indiacte which Vs are satisfied by these case studies.
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The three Vs of Big data are Velocity, Volume and Variety

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i. Volume

  • The exponential growth in the data storage as the data is now more than text data.

  • The data can be found in the format of videos, music’s and large images on our social media channels.

  • It is very common to have Terabytes and Petabytes of the storage system for enterprises.

  • As the database grows the applications and architecture built to support the data needs to be reevaluated quite often.

  • Sometimes the same data is re-evaluated with multiple angles and even though the original data is the same the new found intelligence creates explosion of the data.

  • The big volume indeed represents Big Data.

ii. Velocity

  • The data growth and social media explosion have changed how we look at the data.
  • There was a time when we used to believe that data of yesterday is recent.
  • The matter of the fact newspapers is still following that logic.
  • However, news channels and radios have changed how fast we receive the news.
  • Today, people reply on social media to update them with the latest happening. On social media sometimes a few seconds old messages (a tweet, status updates etc.) is not something interests users.
  • They often discard old messages and pay attention to recent updates. The data movement is now almost real time and the update window has reduced to fractions of the seconds.
  • This high velocity data represent Big Data.

iii. Variety

  • Data can be stored in multiple format. For example database, excel, csv, access or for the matter of the fact, it can be stored in a simple text file.
  • Sometimes the data is not even in the traditional format as we assume, it may be in the form of video, SMS, pdf or something we might have not thought about it. It is the need of the organization to arrange it and make it meaningful.
  • It will be easy to do so if we have data in the same format, however it is not the case most of the time. The real world have data in many different formats and that is the challenge we need to overcome with the Big Data. This variety of the data represent Big Data

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