Types of Data Under Big Data | Data Analytics

In this video we are going to discuss types of data under big data

Under big data we are going to have three types of data. One is the structured data, next one is the unstructured data and last one is the semi-structured data

In case of structured data, the data can be represented in the form of rows and columns

in the form of a table and database is a good example of this particular structure data

So in case of structured data, we can get this structure data from the web blocks

from different sensors or doing the survey on the population will be going to get this

structured data. But we are having only 20% data nowadays existing in the world will be the structured data

But 80% of our existing data, almost 80% is unstructured data. Unstructured data means the data will be in the form of data files, maybe in the form of

PDF, images, videos and so on. And they cannot be represented in the form of rows and columns

satellite which is sending some images to us can those images can be considered as unstructured

data in case of semi data so to some extent it is structured to some extent it is unstructured so that why we are calling it as a semi data As an example we can consider the JSON files the XML

files, and they'll be falling under the unstructured data category. So, let us go for this type

of data types and their respective discussions into more details. The big data are categorized

into three different types, that is a structured data, unstructured data, and structured data

and semi-structured data. So, let me discuss each one of them one by one. So, at first

we are going for this database. You can find that this is a good example of a structured data

We're having certain columns. So, there is the employee number, name, age, department

and salary. And here we're having the respective roles containing the respective information

So here we're having the records, and here we're having the columns. So structured data

are those type of data which are stored already in an order and there are nearly 20% of the total

existing data nowadays and these data are structured and all the data generated from sensors

web blocks and these all machine generated structured data so these are the machine generated structured data there is a web blocks there is our sensor data and so on The human generated structured data are those

which are taken as information from a human like their names, addresses, gender, and data

part and so on. So the example of structured data is database. So now let us concentrate on the

unstructured data. So these are unstructured data. So the unstructured data have no clear

format in storage and we can store structured data in rows and columns database but unstructured

data cannot be stored like that so unstructured data cannot be stored in the form of rows

and columns and we're having at least 80% of the data nowadays existing which is which are unstructured

all satellite generated images scientific data or images are categorized as machine generated

unstructured data so the images which will be sent by the respective

satellites can be treated falling in the category of unstructured data. There are various types of human generated unstructured data and these are the images, videos

social media data etc So the example of unstructured data are the text documents PDFs images and videos etc So this is the theory or this is the concept against this unstructured data

So now let us come to the last category that is the semi-structured data

So it is very difficult to categorize this type of data. Sometimes they look structured and sometimes they will be looking as unstructured

So that's why these data are known as semi-structured data. We cannot store this type of data using traditional database

format and but it contains some organizational properties and examples of semi-structured data are spreadsheet files which we have in our Excel in our

calc we are having the spreadsheet files so spreadsheet file is a good example

of semi-structured data we're having the XML or JSON documents there is a

JavaScript object notation so extended markup language there is a full form of

XML and no SQL database are the data items which are falling under this unstructured data

So, no skill is one kind of database where we can keep this type of data in a very efficient way

So, in this video, we have discussed that what are the different types of data that big data

is going to handle. Thanks for watching this video