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.
91. What is geospatial data in MongoDB?
92. Which data type is used to store geospatial data in MongoDB?
93. What is the MongoDB geospatial index type used for two-dimensional (2d) data?
94. Which MongoDB geospatial index type is used for geographic (GeoJSON) data in a spherical coordinate system?
95. What does the "near" operator do in MongoDB's geospatial queries?
96. How does MongoDB represent a point in a geospatial query?
97. Which geospatial query operator is used to perform a geospatial query with a specified distance from a point?
98. What is the MongoDB geospatial query operator used to search for documents within a specified shape?
99. In MongoDB, how can you perform a geospatial query to find documents within a specified distance from a point?
100. What is the MongoDB operator used to index a geospatial field for geospatial queries?