Skip to main content

THE 3 V's OF BIG DATA

In continuation to the last blog of understanding the concept and actually what Big Data is let us now talk about the 3V's of Big Data.

Generally in marketing the key measuring elements are the 4 P's of marketing which are Product, Place, Promotion and Price. The same narrative can be used for measuring Big Data with the 3 V's which are Variety, Velocity and Volume.

This 3V,s define the broad area of data in different fonts according to the merit of data which in combined we call the Big Data.

 1994871 (1024×768)
The picture above gives us a clear idea about the 3 data fonts and understand the concept  virtually. Now let us understand these 3 V's in particular.

Volume: The scale of the data available has steadily increased. This refers to companies and individuals. A text file is a few kilo bytes, a sound file is a few megabytes whereas a full-length film is a few giga bytes (Diya Soubra, 2012).
More data sources are constantly introduced. For businesses, employees in the old days produced all data internally.  The details is currently produced by employees, partners and clients. The data is also generated by machines for an enterprise community. Hundreds of millions of smart phones, for example, transmit a range of information to the network infrastructure. Five years ago, those data did not exist. Multiple data sources with a larger data size combine to boost the data volume that needs to be analysed. This is a big issue for those who are trying to use that data rather than just letting it go.
Peta byte data sets are common these days, and not far from Exa byte.

 One Billion hours watch time every day on You-Tube.
https://www.youtube.com/about/press/


Velocity:  Companies initially analyses the data using a batch of data which is then being filtered through the process. The block data is then submitted to the server and is then awaiting for the result to be delivered. The system works when the incoming data rate is slower than the batch processing rate and given the delay, the result is useful. The batch process breaks down, with new data sources such as media and mobile applications. The data now streams in real time, in a continuous manner, to the server and the result is only useful if the delay is very small (Diya Soubra, 2012).

Over 500 ± Million tweets generated every day.
https://www.internetlivestats.com/twitter-statistics/


 Variety: Data structure has evolved from Excel tables and databases to loosen the structure and introduce hundreds of formats. Simple text, image, audio, video, network, GPS data, sensor data, relational databases, documents, text messages, pdf, flash, etc. One no longer has control over the format of the input data. In order to keep control of the analysis, structure can no longer be imposed like in the past. To order to keep track of the analysis, structure can no longer be enforced like in the past. With the introduction of new technologies new data structures come to life (Diya Soubra, 2012).

Google Maps predicting real time traffic data. How?
https://electronics.howstuffworks.com/how-does-google-maps-predict-traffic.htm

These 3 V's together gives the real time practitioners the leniency where the Big Data can be analysed  and put into use.
BIBLOGRAPHY
Posted by Diya Soubra on July 5, 2012 at 5:11am in Uncategorized, and View Discussions. “The 3Vs That Define Big Data.” Accessed February 21, 2020. https://www.datasciencecentral.com/forum/topics/the-3vs-that-define-big-data.

“Press - YouTube.” Accessed February 21, 2020. https://www.youtube.com/about/press/.

“Twitter Usage Statistics - Internet Live Stats.” Accessed February 21, 2020. https://www.internetlivestats.com/twitter-statistics/.

HowStuffWorks. “How Does Google Maps Predict Traffic?,” October 31, 2014. https://electronics.howstuffworks.com/how-does-google-maps-predict-traffic.htm.

Comments

Post a Comment

Popular posts from this blog

BIG DATA! WHAT IS IT?

T HE CONCEPT OF BIG DATA  Back in the time Sir Francis Bacon quoted that "Knowledge is power". Breaking down this quote in the modern world it can be termed as information is power hence, too much data can never be used as a basis for decision making (Paraschiv and Danubianu, 2019).  The last era has seen a huge technological development which brought in a lot of data within itself following with data collection and storage. Also, we can say that the entire society is clouded with binary numbers the 0's and 1's.  With a variation of data collected from different data points such as transactions, sensors, streaming and social media, introduced a new and convoluted data types whose storage and processing was now a huge challenge for traditional databases. Hence, the concept of Big Data came into existence.  THE DEFINITION OF BIG DATA  Now from the above discussion we understand how the concept of Big Data came into existence so let us talk a...
17 comments
Read more

GOOGLE ANALYTICS OVERVIEW

In this final blog let us discuss the Analytics of my last 5 blog topic. Here we will discuss an overview of the last 6 weeks. AUDIENCE OVERVIEW On the above chat we can see that the number of users viewed the website was 24 and the number of times users visited the website is 89 which is called sessions. Thereafter, the number of times the users visited different pages on my website, which is termed as pageviews is 510 following with 06.52 average watch time on my website and a 32.58% bounce rate which means the users exiting the website immediately after visiting the site. ACQUISITION OVERVIEW The Acquisition overview gives us a clear overview of the overall traffic for the website. On the above chart we can see that most of the traffic came from social media which is 45.8% and the second most is 35.4% which came directly by sharing the URL. Surprisingly 14.6% came from referral which means users coming to my website form other website and 4.2% being organi...
Post a Comment
Read more

ARTIFICIAL INTELLIGENCE IN MARKETING

Let us talk about AI in Marketing in this blog. Artificial Marketing is about optimising consumer data and AI like machine learning, is about enhancing and predicting the next move of the consumer and act accordingly to move down the sale funnel of customer buying journey (PricewaterhouseCoopers, “Consumer Intelligence Series.”. 2020) . With the use of Big Data and Analytics the marketers are able to build a clear target audience and map a better buyers journey. Marketers can also enhance/ boost and make changes to campaigns and measure the ROI. Well this a small overview of AI in Marketing but let us discuss a little further. Some of the core AI Marketing are: Big Data – As discussed above Big Data has an overwhelming opportunity for marketers and giving them an opportunity to deliver the right message to the right person with different contents for different target audience. Machine Learning – This intelligence provides marketers with the opportunity to analyse tr...
35 comments
Read more