In my previous Blog I had written about Introduction
to Big Data, hope it was helpful and thanks everyone for reading the blog and
sharing your valuable comments. Following the Introduction of Big Data ,In this
blog little in depth its about 3V’s in Big Data. Kindly read the blog and pass
on your comments.
Thanks in advance
We are the V’s of Big Data - Volume|Velocity|Variety
Volume : We will go first with
volume. It’s obvious our understanding to Big Data is
“Big = Volume”
.There is huge volume of data collected every day in various formats from
various sources. We will take example of Facebook. Their are 2.5 billion
monthly active users on Facebook, all there data is been collected and
processed by Facebook, it could be image, video, gif’s etc. This is just
example of Facebook. Just Imagine how much data would be processed in different
social media’s on a daily basis all over the world. We can’t even imagine the
amount data collected and processed on a daily basis. We are aware of KB, MB,
GB & TB but there are exabyte (EB) is 1018
bytes . A zettabyte (ZB) is 1021 bytes and yottabyte (YB) is 1024 bytes of data is been collected and processed.
Variety: We spoke about Volume and
now wondering what kind of data are collected. There are different variety of
Data’s are been collected from different platforms. Let’s take an example of
email, just think how many email do we get in our inbox on a daily basis 10?,
50?, 100?. There are 2.9 billion email users worldwide send and receive about
269 billion each day. All the email sent will not be same like another, every
email will consist of sender’s ,receiver’s email address ,a time stamp and
human-written text also possibly attachments of images, videos, email
attachment ,documents ,audio recording etc. All this data makes the variety
element of Big Data.
Velocity : What is velocity? Why
velocity comes in Big Data? We have collected huge volume of data and different
variety of data but did we think about the velocity of the data processed .We
will take example of Facebook, 900 million photos a day been uploaded by users.
Just imagine Facebook has to ingest it, process it, file it and later should be
able to retrieve .Let’s all this process has to be taken place in few seconds
of time and also it has to be hassle free, here comes the importance of
velocity. Velocity will be like the sailor of the ship. Hence velocity becomes
the key requirement of 3V’s of Big Data.
There are many things plays important role in Big
Data, but these 3V’s play major role in Big Data like 3 important vital organs
of human body.
References:
Big Data is the new hot stuff, the 'talk of the town'
ReplyDeleteWell Said!
DeleteVolume, speed with variety is important in Big data analysis. Your blog can be improved with more factful data with more examples. Face book is just one social application. Focus towards Amazon, YouTube, news channels will be more informative. All the best.
ReplyDeleteThanks for the constructive feedback .
DeleteExactly big Data is of 3v's....u can add 2 more V's to it..that is Veracity that stands for quality..data what we have should be clean n accurate
ReplyDelete..and finally value refers to ability to transfer a hug data into business.
Yes there are 2 more V’s to be looked into in big data.
DeleteThanks
You explained it thoroughly!!
ReplyDeleteThanks
DeleteThis comment has been removed by the author.
ReplyDeleteBig data is a term that describes the large volume of data – both structured and unstructured – that inundates a business on a day-to-day basis. But it’s not the amount of data that’s important. It’s what organizations do with the data that matters. Big data can be analyzed for insights that lead to better decisions and strategic business moves.
ReplyDeleteYes, that’s true.
DeleteThanks
You explained the 3 characteristics in detail (y)
ReplyDeleteThank you!
DeleteGood use of examples to explain the 3V's. Great job!
ReplyDeleteGreat introduction!!
ReplyDeleteLayman way of explanation about big data and 3V's are very informative for beginers.
ReplyDeleteThank you!
DeleteGreat job bro
ReplyDeleteLong way to go.
Thank You. I have a better understanding of 3Vs now.
ReplyDeleteExamples are really well chosen.
ReplyDeleteGreat illustrative examples ,the life elements of big data is explained in a very constructive way!
ReplyDeleteLengthy but great
ReplyDeleteSuperb blog with many useful insights. Well done and great work
ReplyDelete