Have you worked with NoSQL databases or caching?

Yes, I have worked with NoSQL databases and caching systems.

NoSQL databases are used when flexible data schemas, high scalability, and performance are required. For example:

• MongoDB — a document-oriented database, suitable for storing JSON-like documents.
• Redis — a key-value store, often used as a cache or message broker.
• Cassandra — a columnar database for large volumes of data with high availability.

Caching helps speed up access to frequently used data, reducing database load and response time. Examples:

• Using Redis or Memcached to store sessions, query results, or frequently requested data.
• Setting TTL (time-to-live) for automatic cache refresh.

Example: in a project, I used Redis to cache the results of complex queries to MongoDB, which significantly reduced API response time and database load.