Overview
Built a complex multi-topic data aggregation system using Kafka Streams, creating real-time materialized views that combine data from multiple Kafka topics.
Key Features
- Stream-Table Joins: Join event streams with reference data tables
- Multi-Way Joins: Chain multiple joins across topics
- Stateful Processing: Maintain local state for aggregations
- Windowing: Time-based aggregations for metrics
- Interactive Queries: Query local state stores directly
Technical Approach
- Kafka Streams topology for stream processing
- RocksDB for state store management
- Partitioning for parallel processing
- Optimized for low-latency query access