We already know how big data is defined and how important
it is as a part of data science. Big data usually stands for large chunks of
multidimensional data. This much amount of data cannot be handled by humans
alone. If they were to be handled by humans, it would take a lot of time and
effort and yet the results would be inaccurate. Hence Big Data Analytics came
into the picture. As we know that data sciences growing exponentially these
days, Big Data Analytics as a part of data science is really important for
business firms and organizations and hence has caused the creation of a lot of
job opportunities for people. Big Data Analytics is not only about analyzing
data. There is a lot more to Big Data Analytics. It comprises of strategies to
handle data, and various terminologies related to it. We will discuss some of
the basic terminologies related to Big Data Analytics in this article.
What is the power of Big Data Analytics?
There was a time when all the business decisions were
taken on the basis of experience of the people working in that business firm
and some general intuitions of people working in that firm. But nowadays it is
seen that this is not a very good process or method for taking good and
informed business decisions. This is mainly because intuitions are not always
connect and also it is seen that many times, there is a lack of experience in a
business firm because not only business firms, but all kinds of firms have
become very dynamic these days. Every year they are hiring new talent and
people who have worked for the most part of their life in that firm are
retiring. Hence we can analyze to predict outcomes of various business
decisions by analyzing past outcomes and keeping in mind the current condition
of the business firm also.
How does it help business firms?
How does Big Data Analytics help business firms grow? By analyzing
various terms of multidimensional data, business firms can know what kind of
decisions have been successful in the past and have been appreciated by the
general public. Similarly it helps them to know what kind of decisions were a
fail and not welcomed by the public and their general users. Hence, they can
modify their future decisions accordingly. Big Data Analytics also helps to
analyze and learn from various feedbacks given by the users so that the
business organization can have a decent introspection as to where it is going
wrong and what are the areas where it needs to improve.
What are the 3 Vs of Big Data Analytics?
The 3 Vs of Big Data Analytics are Volume, Variety and
Velocity. These are really helpful for defining the type of data in Big Data
Analytics. Volume means the amount of data that has been gathered, variety
means the type of data and similarly velocity means the speed at which the data
is being processed. It is very useful for Big Data Analytics.
From the
author’s desk
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