The document provides an overview of NoSQL databases, detailing their definitions, purposes, types, and specific use cases. Types of NoSQL mentioned include document stores, key-value stores, column stores, and graph databases, along with examples such as MongoDB, Redis, Cassandra, and Neo4j. It highlights advantages like scalability, flexibility, and performance for handling large volumes and diverse data types.

1. DATA SCIENCE AND ANALYSIS.
SUBMITTED BY
G.RAMAPRIYADHARSHINI
II MSc.cs
Nadar Saraswathi college of
arts and science.
NOSQL

2. INTODUCTION:
Definition:
NOSQL is a Non Relational Database for
specific data models and access a patterns.
Purpose:
Handle large volume of data and diverse
data types.

3. TYPES OF NOSQL:
 Document stores.
 key value stores.
 column stores.
 graph database.

4. Document stores:
Characteristics:
 Store data as JSON like documents.
Use cases:
 Content management system , realtime
analytics.
Example: MongoDB

5. Key values stores:
Characteristics:
 Data is stored as key value pair.
Use cases:
 Caching , Session management.
Example: Redis

6. column stores:
Characteristics:
 Store data in column rather than rows.
Use cases:
 Data warehousing, real time analytics.
Example: Cassandra

7. Graph databases:
Characteristics:
 Focus on relationship between data
points.
Use cases:
 Social networks , fraud detection.
Example: Neo4j.

8. ADVANTAGES:
Scalability:
 Horizontal scaling capabilities.
Flexibility:
 Schema less design allows for varied data
types.
Performance:
 Optimized for specific access patterns.

9. THANK YOU