Big data is a
huge set of data -both structured
and unstructured, that are complex and voluminous that traditional data
processing software’s are unable to make use of them. Old times people used
Relational Database Management Software’s(RDBMS). The data were brought to the software for processing. But
now the volume of data hiked a lot. Like the name says, Big Data plays a
significant role in reducing the wastage of data as well as increasing the quality
of the products. It’s good for government, consumers and for the businesses. Let’s
see why Big data is important.

                                                The increase of the storage
capacity, processing power and the availability of data makes the big data’s
growth rapidly. As we know, there are mainly three characteristics for big data
or else known as the 3V’s: Volume, Variety, Velocity. These are the dimensions
that make Big Data unique. Volume refers to the enormous space that generated
and processed data is acquiring. Variety on the other hand refers to the
different types of data including both structured and unstructured. While Velocity
refers to the speed at which data is generated, processed and stored. So why Big
Data matters?

We Will Write a Custom Essay Specifically
For You For Only $13.90/page!


order now

                                                The
main three reasons why Big Data matters is, New data, unlocking value and
Shaping the future. A huge amount of data is generated in every second. And the
best part is all are unknown data that can be refined to get the best data,
which is money. A good example is e-commerce sites capturing data through clickstream.
It aims at predicting the best products for the customers in future through the
human purchase process. The second reason is unlocking the value, where the
data is unveiled to get the exact data. This is performed by analysing the
database transactions and submitting report model prints. Example is conducting
a survey. Third reason is Modeling the future through predictive analysis (looking
answers for questions). It also helps to anticipate people’s preferences through
recommendations. A good example is Amazon books, where they use basic principles
of Graph theory to recommend books.

                                                There are certain facts that
prevent an organisation from adopting Big Data solutions and amongst them the
first one is Data diversity. A lot of data with variety of formats and with
different constraints are available