MongoDB Bootcamp

# MongoDB bootcamp - 10 working days

Day 1 - Tooling: install, mongosh, Compass, VS Code playgrounds.
Day 2 - Data modelling: embed vs reference, schema design rules.
Day 3 - CRUD: find, insert, update, delete; upsert; bulk writes.
Day 4 - Indexes: B-tree, compound, multikey, partial, TTL, text.
Day 5 - Aggregation: \$match, \$group, \$lookup, \$facet, \$merge.

Weekend project: a small marketplace with orders + items + payments.

Day 6 - Transactions + sessions: when to use, retries, isolation.
Day 7 - Performance: explain plans, hint, profiler, Atlas Performance Advisor.
Day 8 - Replication + sharding: oplog tailing, replica set, shard keys.
Day 9 - Security: auth, RBAC, network, CSFLE, audit.
Day 10 - Backups + operations: mongodump, snapshots, PITR, drill restores.

Capstone: ship a small API with Mongo on Atlas; include a backup drill.

## Tips

- Embed for bounded lists; reference for unbounded or shared lookups
- Compound index field order: equality first, then sort field
- Use Atlas Performance Advisor on dev clusters; it learns from real traffic
- Schema validation can prevent garbage docs; turn it on once schemas stabilise

## Common mistakes

- Storing growing arrays (audit logs, events) inside a single doc
- Misordered compound indexes that the optimiser cannot use
- Running without backup verification - test restores quarterly

// 30-day plan — see lesson body.