This document introduces structured and unstructured data. Structured data is organized into a tabular format with clearly defined rows and columns, such as data in Excel files and SQL databases. It provides a proper understanding of the data. Unstructured data lacks a predefined structure and includes text, audio, video, images and social media posts. It makes up 80-90% of data but is more difficult for humans to analyze than structured data. Artificial intelligence can help analyze unstructured data.

1. DATA TYPE
Shivam Yadav
230783

2. INDEX
• Introduction of Data
• Type of data
• Structured Data
• Unstructured Data
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3. Introduction
Data are raw facts that have not been processed to
explain their meaning.
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4. There are 2 type of Data
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• Structured Data
• Unstructured Data
Store
Update
Retrieve

5. Structured Data
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• Stored in tabular format (Data in rows and columns format)
• Clearly defined
• Data is stored in a pre-defined data model
• The rows and columns are related to each other
• Proper view and understanding of data
• It gives a proper view and understanding of data

6. For Example
• Excel Files
• SQL databases

7. Structured data refers to information that has been
arranged in a format. Usually it is stored in a
database. Can comprise numbers and text.
Structured data is conveniently available. Can be
used by both humans and computer programs.
Structured data possesses a structure and adheres
to an order. It is commonly presented in form, with
rows and columns that define the attributes of the
data.
Some examples of data include:
Dates and times
Cell phone numbers
Social security numbers
Banking/transaction information
Customer names, postal addresses, and email addresses
Product prices
Serial numbers
Data that is organized in a manner is easy for
machines to comprehend. The quantitative nature of
data allows computers to efficiently analyze it and
gain insights.
Case study of Structured Data:
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TYPE
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Structured Data is stored in RELATIONAL DATABASES (RDBMS)
MANAGE
DATA IN THE
RELATED FORMAT

8. Unstructured Data
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• No pre-defined structure
• No data model
• Data is irregular and ambiguous
• Easiest to extract data
• Hence 80-90% of data is unstructured
• It is a combination of text, numbers, audio, video, images,messages, social media posts,
etc

9. For Example
Instagram Youtube
Facebook
Google

10. Case study of Unstructured Data:
Unstructured data refers to information
that lacks a predetermined structure or
organization.
It typically consists of text. Can also
encompass dates, numbers and factual
details.
Storing and processing data, in digital
databases poses challenges.
Examples of data include texts, video
files, audio files, mobile activities, social
media posts, satellite imagery and
surveillance imagery.
As the use of applications and services
continues to rise the volume of data is
rapidly expanding. Businesses of all
sizes heavily rely on data, for making
operational decisions.
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 It is a complex task to analyse unstructured data
for human.
 ARTIFICIAL INTELLIGENCE can do .
 For example- Face Recognition used by Google.
 Hence, previously only structured data was used
extensively.
 So unstructured data is the most useful kind of
data.
 It provides a lot of information Stored in the data
lake.

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THANK YOU
Shivam Yadav
230783