Stanimira Vlaeva

NoSQL Data Modeling for Front-end Developers

Your application's query patterns, not normalization rules, should drive your data model.

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

Why data modeling matters for front-end developers

A good data model improves application performance, developer productivity, and reduces overall development costs.

#2about 7 minutes

Understanding document databases and flexible schemas

NoSQL document databases like MongoDB use collections of BSON documents with flexible schemas, unlike the rigid tables of SQL.

#3about 6 minutes

Modeling data relationships with embedding and referencing

One-to-many relationships can be modeled by either embedding related data within a single document or by referencing it using IDs.

#4about 9 minutes

Deciding when to embed or reference data

Use embedding for one-to-few relationships and referencing for one-to-zillions, while considering if entities are separate logical units for one-to-many cases.

#5about 6 minutes

Optimizing queries with the extended reference pattern

Combine referencing with embedding of frequently accessed fields to reduce queries while avoiding overly large documents and data duplication.

#6about 5 minutes

Handling data duplication and staleness effectively

Accept duplication for historical data and manage necessary updates for stale data using batch operations triggered by change streams.

#7about 9 minutes

Core principles for successful NoSQL data modeling

Effective data modeling is driven by application use cases, requiring identification of logical units, relationships, and critical queries.

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