Builds efficient read models and materialized views from event streams using CQRS and event sourcing patterns.
This skill provides comprehensive architectural guidance and code templates for implementing the read side of CQRS systems. It facilitates the transformation of raw event logs into query-optimized data stores, covering various projection types including live subscriptions, catch-up processing, and persistent checkpoints. Whether you are building real-time dashboards, full-text search indexes with Elasticsearch, or aggregated reporting tables in SQL, these patterns ensure data consistency and high-performance querying in event-driven architectures.
Key Features
010 GitHub stars
02Implementation patterns for Live, Catchup, Persistent, and Inline projections
03Standardized projector architecture with robust checkpoint management
04Guided workflows for event replays and read model rebuilding
05Templates for SQL-based materialized views and complex data aggregations
06Elasticsearch integration patterns for high-performance search indexing
Use Cases
01Synchronizing relational data stores with search engines like Elasticsearch
02Building real-time analytical dashboards from transaction logs
03Optimizing query performance in high-scale Event Sourced systems
