A developer configures EventBridge as a unified event backbone that simultaneously streams real-time business events (order updates, user activity) to OpenSearch for low-latency search indexing, while also routing those same event streams through DataWorks for ETL transformation and loading into a data warehouse (MaxCompute) for batch analytics and reporting — creating a dual-path architecture where the same events serve both operational search and analytical workloads.
A developer configures EventBridge as a unified event backbone that simultaneously streams real-time business events (order updates, user activity) to OpenSearch for low-latency search indexing, while also routing those same event streams through DataWorks for ETL transformation and loading into a data warehouse (MaxCompute) for batch analytics and reporting — creating a dual-path architecture where the same events serve both operational search and analytical workloads.
See _combos/real-time-event-driven-search-pipeline-d98074.
See _combos/event-driven-analytics-and-search-platform-f8f6f4.
See _combos/real-time-data-pipeline-to-search-19d45e.
See _combos/real-time-event-driven-data-pipeline-4095a4.
Q: How can I build an event platform that streams events to both a search index and a data warehouse simultaneously? A: Configure EventBridge as a unified event backbone that simultaneously streams real-time business events to OpenSearch for low-latency search indexing while routing the same streams through DataWorks for ETL transformation into a data warehouse like MaxCompute. This dual-path architecture allows the identical event data to serve both operational search and batch analytics workloads.