mongodb

MongoDB and Mongoose schema design, querying, aggregation pipelines, and performance optimization. Build and query MongoDB databases with best practices. - Covers both native MongoDB driver and Mongoose ODM with connection setup, CRUD operations, and graceful shutdown patterns - Schema design guidance including embedded vs. referenced documents, virtuals, validation, indexes, and text search configuration - Query operations with 20+ operators (comparison, logical, array, regex) plus find, update, and upsert patterns with query builders - Aggregation pipeline stages ($match, $group, $lookup, $unwind, $facet) with real-world examples for sales analytics and top-product queries - Middleware hooks, transactions, bulk operations, cursor iteration for large datasets, and Atlas-specific features like full-text and vector search - MongoDB Docs : - Mongoose Docs : - MongoDB University : - Atlas Docs :