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Webinar #7 - Design and test Event-Driven projections and read models

If I had to choose the killer feature of Event Sourcing and Event-Driven design, I’d select projections.

They seem to be a simple concept.

We’re taking a set of events representing various facts (about the same object, multiple), correlating them and building interpretation.

Most of the time, we store the result as a materialised read model.

Yet, if you reach the 2nd day of working with them, then you may stumble upon the challenges like:
- handling idempotency,
- eventual consistency,
- testing,
- correlating data.

During the Webinar, I showed how to deal with those challenges and get the best out of projections.

I used Node.js, TypeScript, MongoDB and EventStoreDB to show real-world examples, but the knowledge will be focused on the patterns, not the tooling.

I encourage you to read Guide to Projections and Read Models in Event-Driven Architecture before watching, as it’ll help you to effectively go through the presented concepts.

Check also:
- Source codes,
- How to test event-driven projections.

Read also more in:
- Never Lose Data Again - Event Sourcing to the Rescue!
- Events should be as small as possible, right?
- Outbox, Inbox patterns and delivery guarantees explained
- Integrating Marten with other systems
- Persistent vs catch-up, EventStoreDB subscriptions in action
- How to create projections of events for nested object structures?
- How to build event-driven projections with Entity Framework
- How to scale projections in the event-driven systems?
- Let’s talk about positions in event stores
- Dealing with Eventual Consistency and Idempotency in MongoDB projections
- A simple trick for idempotency handling in the Elastic Search read model
- Long-polling, how to make our async API synchronous
- Anti-patterns in event modelling - State Obsession


Webinars: