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TOPIC OVERVIEW

MongoDB/Data Modelling

Decide when MongoDB documents should contain related data and when that data should live somewhere else.

18 QuestionsAdvancedHigh Priority ~14 min read

MongoDB's flexible document model gives you more than one way to represent relationships. You can embed related data inside a document or store references to documents in another collection.

The right choice depends on how your application reads and updates data. Embedding can make related reads simple and fast, while referencing can make sense when data is large, shared, or updated independently. Good MongoDB modelling starts with the application's access patterns rather than trying to copy a relational database design directly.

What you'll walk away knowing

How embedding and referencing differ
When related data should be embedded
When references are a better choice
How application read and write patterns should influence schema design
1How does 'Data Locality' affect performance in MongoDB?Intermediate2You are designing a system for an e-commerce platform. A 'Product' has 50 attributes, but only 5 are used for the search results page. The 'Reviews' can grow into the thousands. How do you model this?Advanced3What is the 'Unbound Array' problem and how do you solve it?Intermediate4Explain the 'Extended Reference' pattern. How does it improve performance in a microservices architecture?Intermediate5What are the implications of the 16MB document limit on your modelling choices?Advanced6When do you choose 'Embedding' (De-normalization) over 'Referencing' (Normalization)?Intermediate7How to link related data in mongoDB?Intermediate8When would you implement the 'Bucket Pattern'?Intermediate9What is the 'Schema Versioning' pattern?Intermediate
All Topics
1
Basics
CRUD
Bulk Operations
2
Indexing
Data Modelling
3
Transactions
Aggregation
4
Replication
Sharding
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