[Hadoop]Types of Data under Big Data

What are the different types of data?

• The big data are categorized into three different types:
  1. Structured Data
  2. Unstructured Data
  3. Semi-Structured Data

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Structured Data:

Emp. No.	Name	Age	Department	Salary
011	Arati	46	Store	50000
022	Sharmistha	32	Marketing	56000
033	Agnibha	25	Marketing	56000
044	Atmaja	26	Security	51000

• Structured data are those type of data which are stored already in an order. There are nearly 20% of the total existing data are structured data. All the data generated frome Sensors, weblogs, these are all Machine Generated Structured Data. The human-generated structured data are those which are taken as information from a human. Like their names, addresses etc.
• The example of Structured Data is Database.

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Unstructured Data:

• The Unstructured data have no clear format in storage. We can store structured data in the row-column database, but unstructured data cannot be stored like that. At least 80% of data are unstructured. All satelite-generated images, scientific data or images are categorized as machine-generated unstructured data. There are various types of human-generated unstructured data. These are images, videos, social media data etc.
• The examples of Unstructured Data are text documents, PDFs, Images, videos etc.

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Semi-Structured Data:

• It is very difficult to categorize this type of data. Sometimes they look structured, or sometimes unstructured. So that’s why these data are known as semi-structured data. We cannot store these type of data using traditional database format, but it contains some organizational properties.
• The examples of Semi-Structured Data are Spread Sheet files, XML or JSON documents, NoSQL database data items etc.