Stanimira Vlaeva
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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