event-stream-projection-patterns

You build read models from event streams by running a projector that applies projections to transform events into denormalized data. This Skill supports creating live, catchup, persistent, and inline projections to populate your read models efficiently.

Creating a live dashboard from event sourcing requires projecting your event streams into denormalized read models. This Skill applies live projections to continuously update dashboard views as new events stream in, ensuring real-time data visibility.

Yes, you can restart a projector without losing your place by using checkpointing. This Skill ensures accurate, restartable reads by tracking the projector's position in the event stream, allowing it to resume exactly where it stopped.

The supported projection types for processing event streams are Live, Catchup, Persistent, and Inline. Each type serves different needs, from real-time updates to historical rebuilds, allowing flexible read model construction.

You create searchable indexes from events by configuring projections that materialize your event stream into a structured read model. This Skill guides building these indexed views to support fast queries and analytics across your streams.

You need catchup projections when rebuilding historical read models from past events, and live projections when updating read models with new events in real-time. This Skill supports both, enabling accurate data architecture transitions.