Denormalization trade-offs in MongoDB - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is denormalization in MongoDB?

Denormalization means storing related data together in one document instead of splitting it into multiple collections. This helps to get data faster but can cause data duplication.

beginner

Name one main advantage of denormalization.

It improves read performance by reducing the need for joins or multiple queries, since related data is stored together.

beginner

What is a key disadvantage of denormalization?

It can cause data inconsistency because the same data might be stored in multiple places and needs to be updated everywhere.

intermediate

Why might denormalization increase storage space usage?

Because data is duplicated in multiple documents, it uses more disk space than normalized data which stores data only once.

intermediate

When is denormalization a good choice in MongoDB?

When your application reads data much more often than it writes, and you want faster reads even if writes are slower or more complex.

What does denormalization primarily improve in MongoDB?

A Write performance

B Network speed

C Data security

D Read performance

Denormalization stores related data together to reduce queries, improving read speed.

What is a common risk when using denormalization?

A Data inconsistency

B Faster queries

C Reduced storage

D Simpler updates

Duplicated data can become inconsistent if not updated everywhere.

Denormalization can cause which of the following?

A More disk space used

B Less disk space used

C No change in disk space

D Automatic backups

Duplicating data increases storage needs.

When is denormalization NOT ideal?

A When reads are frequent

B When writes are very frequent and data consistency is critical

C When data is rarely updated

D When data is small

Frequent writes with duplicated data increase complexity and risk of inconsistency.

Which MongoDB feature helps manage denormalized data?

A Sharding

B Indexes

C Embedded documents

D Aggregation pipeline

Embedded documents store related data together, a common denormalization method.

Explain the main trade-offs of denormalization in MongoDB.

Think about speed vs. data accuracy and storage.

When should you choose denormalization over normalization in a MongoDB database?

Consider your application's read/write patterns.