A database is a collection of organized data that is stored in a way that allows for efficient retrieval and manipulation. Here are some key aspects of databases:
1. Data storage: Databases store data in a structured format, using tables, fields, and records.
2. Data retrieval: Databases allow data to be queried and retrieved using commands like SELECT, INSERT, UPDATE, and DELETE.
3. Data manipulation: Databases enable data to be added, modified, or deleted as needed.
4. Data consistency: Databases enforce data integrity and consistency through constraints and rules.
5. Data security: Databases have user authentication and access control to ensure secure data access.
6. Data scalability: Databases can handle large amounts of data and scale as needed.
Types of databases:
1. Relational databases (RDBMS): Use tables and relationships (e.g., MySQL, PostgreSQL).
2. NoSQL databases: Use key-value pairs, documents, or graphs (e.g., MongoDB, Cassandra).
3. Graph databases: Designed for storing and querying graph structures (e.g., Neo4j).
4. Time-series databases: Optimized for storing and retrieving time-stamped data (e.g., InfluxDB).
5. Cloud databases: Hosted in the cloud, offering scalability and flexibility (e.g., AWS Aurora, Google Cloud SQL).
Database design involves:
1. Conceptual design: Defining the database structure and relationships.
2. Logical design: Translating the conceptual design into a database schema.
3. Physical design: Optimizing the database for
Experience
No experience mentioned.