Learn how to apply event sourcing and CQRS to a real world system. All material is supported with a reference project to reference called Reactive Stock Trader.
Classical software is primarily based around the notion of decision trees. Any programmer who has coded an if-else-then statement can understand the basics of data science.
When success is ultimately achieved, give the credit to others. There will be time for you to internalize your own impact on the success of a project.
A successful Event Storming session — as well as a successful software project — demands equal parts art, knowledge, and technical skill. Also, it’s much cheaper to make changes to sticky notes than production code. Nothing in this article requires technical expertise or previous experience with reactive, event-driven systems.
According to Gartner’s Nick Heudecker, 85% of data science projects fail. This is a staggering ratio of failure that deserves consideration from your organization before undertaking your next data science initiative!