MongoDB is a popular NoSQL database system renowned for its flexibility and scalability. It uses a document-oriented model, storing data in JSON-like BSON format, allowing for dynamic schemas and easy data manipulation. MongoDB's distributed architecture supports horizontal scaling, ensuring high availability and performance. It's widely utilized for applications requiring real-time data access and complex data structures. Its features include automatic sharding, replication, and support for geospatial data, making it a versatile choice for a broad range of industries, from e-commerce and social media to IoT and big data analytics.
31. What is the fundamental unit of data in MongoDB data modeling?
Answer:Document
32. How are relationships between entities typically represented in MongoDB data modeling?
Answer:Embedding
33. What is the purpose of denormalization in MongoDB data modeling?
Answer:Simplifying data retrieval
34. In MongoDB, what does it mean to "embed" one document within another?
Answer:Storing a copy of one document within another
35. When is it appropriate to use references to represent relationships in MongoDB data modeling?
Answer:When data is frequently updated
36. Which type of modeling is suitable for modeling data with one-to-many and many-to-many relationships in MongoDB?
Answer:Referencing
37. In MongoDB, what is a common technique for handling data growth and large collections?
Answer:Sharding
38. What is the primary benefit of using sharding in MongoDB data modeling?
Answer:Distributing data across multiple servers
39. What does it mean to "pre-join" data in MongoDB data modeling?
Answer:Combining data during retrieval
40. What is the recommended approach for modeling hierarchical data in MongoDB?
