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.
51. What is the primary purpose of the MongoDB Aggregation Framework?
52. Which operation is used to group documents by a specific field in MongoDB Aggregation?
53. Which MongoDB Aggregation operator is used to filter documents in the Aggregation pipeline?
54. What does the $project operator do in MongoDB Aggregation?
55. In the MongoDB Aggregation Framework, what does the $unwind operator do?
56. What is the purpose of the $sort operator in MongoDB Aggregation?
57. Which operator is used to limit the number of documents returned in the MongoDB Aggregation result?
58. What is the $lookup operator used for in MongoDB Aggregation?
59. Which Aggregation operator is used to calculate the average of numeric values in MongoDB?
60. How can you specify the order in which the Aggregation stages are executed in MongoDB?