The document discusses data models, focusing on the relational data model, which organizes data into tables for efficient management and retrieval. It outlines key components like tables, rows, columns, and keys, along with the advantages of simplicity, flexibility, data integrity, and scalability. Additionally, it provides examples of relational databases and mentions future trends such as cloud databases and the integration of relational databases with big data tools.

1. Topic : Data Models
Presented by : Jawad Ahamed Jamali(23CSE-**)

2. What is a Data
Model?
What is the
Relational Data
Model?
Components of the
Relational Model
Advantages of the
Relational Model
Table of contents
01 02
03 04

3. Example of a
Relational Database
Conclusion and
Future of Relational
Databases
Table of contents
05 06

4. What is a Data
Model?
01

5. What is a Data
Model?
•Definition:
A database is a collection of data
organized in a structured way, making
it easy to access, manage, and update.
•Examples:
•Library catalog
•Online shopping records
•Importance:
Helps store and retrieve data efficiently.

6. What is the
Relational Data
Model?
02

7. What is the
Relational Data
Model?
•Definition:
The relational data model organizes data
into tables (called relations), where each
table consists of rows and columns.
•Key Concepts:
•Table (Relation): A collection of rows and
columns.
•Tuple (Row): A single record in a table.
•Attribute (Column): A property or field of
the data.

8. Components of the
Relational Model
03

9. Components of the
Relational Model:
•1. Relations (Tables):
Data is stored in tables, which consist of
rows (tuples) and columns (attributes).
•2. Domain:
A set of permissible values for an attribute.
•3. Keys:
•Primary Key: Uniquely identifies each row
in a table.
•Foreign Key: A field that links one table to
another.
•Visuals: Simple table with primary and
foreign key labeled.

10. Advantages of the
Relational Model
04

11. Advantages of the Relational
Model
•1. Simplicity:
Data is stored in a clear and simple table format.
•2. Flexibility:
It supports complex queries, including joins, aggregations, and sorting.
•3. Data Integrity:
Ensures data accuracy and consistency through constraints like primary
and foreign keys.
•4. Scalability:
Suitable for both small and large databases.

12. Example of a Relational Database
05

13. Example of a Relational Database
StudentID Name Age
1 VISHWAS 20
2 MUJAHID 22
Course ID StudentID CourseName
C1 1 WEB-DEVELOPMNT
C2 2 E-COMMERECE
•COURSE TABLE :
•STUDENT TABLE :
Join Example:
Using SQL to join these two tables by StudentID to see which courses each
student is taking.

14. Conclusion and Future of
Relational Databases
06

15. Conclusion and Future of
Relational Databases :
•Summary:
The Relational Data Model is one of the most widely used models, offering a
simple, effective way to manage structured data in tables.
•Future Trends:
•Cloud databases using relational models.
•Integration of relational databases with big data tools.
•Call to Action:
Learn SQL for interacting with relational databases.

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