Introduction to the Big data

Big data

Big data is a collection of a huge volume of data. It is growing rapidly with time the data is in large size and high complexity, that none of the traditional data management tools can store it and process it efficiently. 

Generally, Data is nothing but characters or symbols on which operations are performed by a computer. The data is stored in the computer and the data is transmitted in the form of electrical signals. 

There are three types in this. They are structured, unstructured, and semi-structured. In structured, the data can be stored, processed, and accessed in the form of a fixed format.
For example, the details of a student in the college in the form of a table and the attributes will be Name, Identification Number, Gender, and Department.



In addition to the size, being huge unstructured data has multiple challenges in terms of its processing for deriving value out of it. For example, the data source contains text files, images, videos, and log files, etc.,  An association has a ton of data accessible with them.

However, these associations do not know how to derive the value of letters since the data is raw. Consider an example, unstructured data is Google search 

 Semi-structured data can contain both forms of data. we can see semi-structured data as structured inform but it is actually not defined with example a table definition in a relational database management system means the personal data is stored in XML file. 

Advantages of big data :

It brings the ability to process big data in database management systems.

It brings in multiple benefits such as it improves customer services, better operational efficiency, and early identification of risk to the product or services.

Big data helps you to increase sales and loyalty .


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