According to general consensus,
Big Data has four V’s that are specific attributes which define Big Data.
These four V’s of Big Data are:
These four V’s of Big Data are:
• VOLUME
• VARIETY
• VELOCITY
• VERACITY
Let us see what these four V’s mean now.
VOLUME
The basic characteristic that signifies and makes data “Big”
is its sheer volume. There is no sense in focusing on the “minimum storage
unit” of Big Data, as the total amount of information that constitutes Big Data
is expanding exponentially every year.
According to an annual report published by Thomson Reuters
in 2010, it is believed that the world
has 800 Exabytes of data, which is growing exponentially by 50% every year.
Although no one knows the exact amount of new data that has
been generated every year, however, it
can be said that the amount of information that constitutes Big Data is simply
gigantic.
If you as a student looking for the best IT Training in Kolkata , and do not know what is an Exabyte,
here is the math:
1 Bit= Binary Digit
1024 Gigabytes= 1 Terabyte
1024 Terabytes= 1 Petabyte
1024 Petabytes= 1 Exabyte
1024 Exabytes= 1
Zettabyte
VARIETY
As more and more information is getting digitalized, Variety
is one of the most interesting developments in data technology.
Traditionally data types were structured, which means they
could fit perfectly in a relational database.
However in the recent years, structured data is augmented
with unstructured data, which means anything right from Twitter feeds, to weblogs, and MRI images anything can be
captured and stored but it may not have a ‘Meta Model’ that neatly defines the
data.
This unstructured data is basically the fundamental concept
in Big Data technology, and the best means for understanding unstructured data
is to compare it to structured data.
Therefore, the main goal of Big Data technology is to take
this unstructured data and make sense of it.
Now if you are unable to understand structured and
unstructured data, let us fetch an example.
Money is will always have numbers, names will have texts,
and dates will follow a specific chronological pattern. Hence, these are
structured data.
However, pictures, tweets, voice recordings, data which
expresses ideas based on human feelings are basically unstructured data that
carries information but follow no rules.
VERACITY
Veracity refers to the trustworthiness of the data. Can you
rely on the information that the data is representing?
Every student doing IT
Training in Kolkata knows that there will always remain inherent
discrepancy in all data that are collected and hence must be analyzed.
VELOCITY
Velocity signifies the frequency of the incoming data that
is needed to be processed. Streaming data application like Amazon Web Services
Kinesis is an example of an app platform that handles the velocity of data that
are streaming every minute of every day.
Now, there is also another V of Big Data apart from the ones
we talked about, which is known as:
VALUE
Value is the real objective for the development of Big Data
technology.
Mashing up the earlier stated four V’s will provide insight,
which can be assimilated to create a cross-selling opportunity, a new product
line, a cost-cutting measure, or even discover an unknown cause that might
result in cure of a disease.
So if you are willing to learn Big Data technology from the best
institute for IT Training in Kolkata,
your ultimate objective will be to generate
value by doing your Big Data analysis, otherwise,
you are just performing some technological task for the sake of technology
itself.
Where to find the
best Big Data Training in Kolkata?
Therefore, it is good news for students looking for training
in Big Data that this is the most
opportune moment when there is a cascading opportunity, which Big Data offers
that SMB enterprises can optimally make use of.
In case you are also in the lookout
for getting yourself trained in IT
Training in Kolkata, you can come and meet us in Ultadanga at Onward Academy or ring us at
08583993053 and let this year be the most fulfilling year of your life.