Data Patterns

Data patterns describe common solutions to recurring problems in how data is structured, accessed, and modified. They focus on efficient and reliable data handling within a system or application.

Wikipedia

Resequencer

behavioral data

The Resequencer pattern addresses the problem of ensuring events are processed in the correct order when dealing with distributed systems or asynchronous processing where event delivery order is not guaranteed. It acts as an intermediary, buffering and reordering events based on a defined sequence identifier before …

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Read Model

CQRS behavioral data

The Read Model pattern addresses the performance challenges of querying complex domains by maintaining one or more specialized data stores optimized for specific read operations. Instead of directly querying the primary data store (often an event store or normalized database used by the write side), the read model …

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Projection

behavioral data

The Projection pattern addresses the problem of efficiently delivering only the data required by a client or use case, preventing over-fetching and improving performance. Instead of exposing the entire data model, a projector transforms the source data into a simplified data view specifically tailored for the consumer. …

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Resequencer

Read Model

Projection