It is not like the data set will be of a particular type. This datasets can be of different types. it can be structured data set. It can be unstructured data set or it can be semi structured data set. There is no restriction on the kind of data set which we are going to use. Apart from that, there is not going to be any restriction on the volume of the data which we are going to use.
Big Data Analytics:
This term, which examines data of any kind, any volume any type is the term called as big data analytic. There were variety of uses by big data analytic is used. Firstly, they used to expose any kind of unseen patterns, Unidentified correlations or any kind of market trends. Because if you have a huge datasets from that, you can process. you can examine, you can do some kind of analytic on the datasets to find out what are the hidden patterns of the data set.
Purpose of Data Set:
What is the actual motive of the data set? if we are going to use data set or for, the users of a particular product? What we can do is by using big data analytic. We can search, we can study about what are the different unseen patterns in the data like, which kind of product, a particular user prefers. And what are the reasons why a particular user is not using some kind of product etc.
It will help in performing these kinds of analytics, in finding out these kinds of unseen patterns. Apart from that, if you are doing big data analytic, you can also find out what are the preferences of your consumers and based on these kinds of analytic use. For example, the organizations or if it is an e-commerce kind of portal or e-commerce kind of Web site, What that web site can do is if it is performing big data analytic, it can find out that what are the consumer preferences. If we know the kind of consumer preferences, then the Web site or the e-commerce site will try to sell that kind of product only to the consumers. And based on the user preferences, they can also generate user-based recommendations.