data science and analysis, computer science

Not only structured query language

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