Intermediate
MongoDB
Document modelling and where it pays off.
Documents, embedding versus referencing, indexes and the aggregation pipeline, transactions, and the consistency model — for the workloads where a document store is the right choice and the ones where it is not.
0 lessons written3 outlined1 modules~1h reading
After this course you can
- Model documents around access patterns and know when to embed
- Build aggregation pipelines and index for them
- Explain replica sets, write concern and read preference
Curriculum
3 lessons · outlined lessons show their plan01
Document modellingEmbedding versus referencing, the 16 MB limit, unbounded arrays, and schema versioning inside a document.outlinedQueries, indexes and aggregationQuery operators, compound and multikey indexes, ESR rule, and the aggregation pipeline with $lookup and $group.outlinedReplica sets, transactions and consistencyElections, write concern, read preference, causal consistency, and multi-document transactions and their cost.outlined