Stanimira Vlaeva

NoSQL Data Modeling for Front-end Developers

Is data duplication an anti-pattern or a strategic choice? Learn when to embed versus reference data for maximum NoSQL performance.

NoSQL Data Modeling for Front-end Developers
#1about 3 minutes

Why data modeling matters for front-end developers

Understanding NoSQL data modeling helps improve application performance, developer productivity, and reduces overall costs.

#2about 7 minutes

Understanding document databases and flexible schemas

NoSQL document databases like MongoDB store data in BSON documents grouped into collections with flexible schemas, unlike rigid SQL tables.

#3about 6 minutes

Strategies for modeling one-to-many relationships

Model one-to-many relationships using either embedding to store related data within a single document or referencing to link separate documents via IDs.

#4about 6 minutes

Choosing a strategy based on relationship cardinality

Use embedding for one-to-few relationships and referencing for one-to-zillions relationships to avoid oversized documents and performance issues.

#5about 2 minutes

Modeling standard one-to-many relationships

Decide whether to embed or reference by determining if the related data constitutes a separate logical unit that needs to be queried independently.

#6about 6 minutes

Optimizing queries with the Extended Reference Pattern

Combine referencing with embedding minimal, frequently needed data to optimize critical queries and avoid multiple lookups.

#7about 5 minutes

Managing data duplication and staleness

Embrace necessary data duplication for historical accuracy and manage staleness by using batch updates with MongoDB Change Streams.

#8about 9 minutes

Key principles and resources for data modeling

Effective data modeling is driven by application use cases, relationship cardinality, and the identification of critical queries.

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