CQRS.NET 2.0, faster than ever on Azure
The of the more interesting realisations to make as you travel the CQRS path is that not all event data is equal. One of the simplest examples to help demonstrate this is applying event data to an aggregate. Paint this picture if you will. You have an aggregate, lets call it a Product aggregate. When […]
When starting to talk about CQRS, there’s a lot of details that CTOs and architects can get bogged down by. One of the easiest way to start the discussions is with very high level concepts, like separating reading (querying) from writing data… allowing the separate systems to be scaled independently of each other.