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?
32. How are relationships between entities typically represented in MongoDB data modeling?
33. What is the purpose of denormalization in MongoDB data modeling?
34. In MongoDB, what does it mean to "embed" one document within another?
35. When is it appropriate to use references to represent relationships in MongoDB data modeling?
36. Which type of modeling is suitable for modeling data with one-to-many and many-to-many relationships in MongoDB?
37. In MongoDB, what is a common technique for handling data growth and large collections?
38. What is the primary benefit of using sharding in MongoDB data modeling?
39. What does it mean to "pre-join" data in MongoDB data modeling?
40. What is the recommended approach for modeling hierarchical data in MongoDB?