What is covered
Netofficials' MongoDB work spans schema and collection design, index strategy, Aggregation Pipeline authoring, Change Streams integration for real-time event processing, Atlas cluster provisioning, Replica Set configuration, Sharding for horizontal scale, and Atlas Search setup using Apache Lucene. Application-layer work includes Node.js backend development with Mongoose, an Object Data Modelling library for MongoDB and Node.js, as well as Python backends and data pipelines using PyMongo. REST and GraphQL API layers, Time Series Collections for sequential timestamped data, and GridFS for large file storage are also in scope.
















Schema and collection design
Aggregation pipeline complexity
Infrastructure and Atlas tier
Migration from existing databases
Compliance and security requirements