3V's of Big Data

-

3V's of Big Data


 Nowadays, businesses are reaching a point where they are handling lots and lots of data, once they have high volumes of data, at a very rapid velocity and besides, with a huge variety of information, they can say they are working with Big Data. 

 In this article, I will explain what each V's of Big Data consists of. 

 According to Whishwork, the volume consists of the amount of data generated online, it encompasses the available data that are out there and need to be assessed of relevance. FlyData states that to classify a high volume of data it needs to be above exabytes (1 million TB) or petabytes (1,000 TB). An example of the volume is the amount of data each social media user generates by their constant activity. 

 Velocity refers to the speed with which data is being generated. For example, all the videos that are being uploaded to YouTube each minute. According to FlyData, once you have a high velocity of information sooner than later you will deal with volume problems and that's not all. you will need the required infrastructure to handle fluctuations of data processed every second, for example, Twitter is very much active during the Super Bowl than any other midnight Tuesday. 

 Variety refers to all the structured and unstructured data that has the possibility of getting generated either by humans or machines and is all about classifying the data into various categories, according to Whishwork. Structured data is for example; tweets, pictures, and videos and unstructured data will be emails, voicemails, audio recordings, etc. 

 In conclusion, if you find out that your business is dealing with these 3V's, your solution is to look for scalable approaches that help your business analyze accordingly your data. 

 References

 Whishworks. "“Understanding the 3 Vs of Big Data - Volume, Velocity, and Variety”. Available at: https://www.whishworks.com/blog/big-data/understanding-the-3-vs-of-big-data-volume-velocity-and-variety (Accessed 06 Jan 2020). 
Reca, M. (20118). “The 3+ Vs of Big Data: Volume, Velocity, Variety, and a whole lot more”. Available at: https://www.flydata.com/blog/3-vs-of-big-data/ (Accessed 06 Jan 2020). 

Comments

  1. Amrit RajFebruary 6, 2020 at 7:17 AM

    Very good for one to get that basic understanding of it in simple words. Thank you!!

    ReplyDelete
  2. MJFebruary 6, 2020 at 7:30 AM

    Good post about the 3Vs of big data.liked the examples!

    ReplyDelete
  3. Natalha DiasFebruary 6, 2020 at 12:06 PM

    Well done! In my opinion it is so much easier to understand the concept of the 3 V's with the use of examples!

    ReplyDelete
    Replies
    1. IselaTorresFebruary 12, 2020 at 7:47 AM

      you are welcome Natalha! hope yoy enjoy the article :)

      Delete
  4. Sedcan AltundalFebruary 7, 2020 at 4:39 AM

    Well-written, good sources to start reading about the topic. Thank you for sharing, Isela.

    ReplyDelete
    Replies
    1. IselaTorresFebruary 12, 2020 at 7:48 AM

      Sedcan, you are welcome! Thanks for your comment!

      Delete
  5. Tiago PereiraFebruary 10, 2020 at 2:47 AM

    Very informative and well written!

    ReplyDelete
  6. Akshay KanojiaFebruary 19, 2020 at 7:44 AM

    Well written and very insightful. Keep up the good work!

    ReplyDelete
  7. Colin AlmeidaFebruary 24, 2020 at 12:36 PM

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

    ReplyDelete

Post a Comment

Popular posts from this blog

Benefits and Challenges of using Customer Data for Marketing

-
Customer data is defined as the information your customers provide while interacting with your business via your website, mobile applications, surveys, social media, marketing campaigns, and other online and offline avenues. (Deshpande, 2019).  Years ago, marketers would just target mass audiences with advertisements all around the city or on the TV. Of course, this represents big expenditures on marketing and very poor KPI metrics to monitor the effectiveness of the marketing campaigns.  Nowadays, marketers have access to a big amount of customer data but, why is customer data important for marketing? One of the benefits of customer data is that, and thanks to a single customer view database, we can know better target our customers. Segmenting customers is not only good for ensuring that the correct person receives the most appropriate message, but it is also far more cost-effective than a "one message fits all" approach to direct marketing. (Botibol, 2018). Hence, our...
Read more

AI for Marketing

-
Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. (Rousse, 2019).  Nowadays, AI is used in many fields, such as healthcare, education, finance, law, and manufacturing, but we are going to focus on how Marketing is using AI.  AI in marketing is the use of customer data, machine learning, and other computational concepts to predict a person's action or inaction. (Grimms, 2019).  It is important for digital marketers because artificial intelligence will allow analyzing big amounts of data from different platforms, such as social media platforms, emails and web activity in a very short period of time, thus, enhancing campaign performance and overall return on investment (ROI).  According to Dave Chaffey, AI is broken down into 3 different types of technology; machine learning; which uses algorithms to learn from historical data sets that can create propensity models, applied propensity models;...
Read more