Essays
Reactive in Practice: a complete guide to event sourcing and CQRS
May 24, 2019
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.
Demystifying machine learning
December 19, 2018
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.
Give credit and take blame
June 4, 2017
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.
How to model reactive systems with event storming
March 11, 2017
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.
Videos
DataOps: Operationalizing Data Science
October 26, 2018 • Reactive Summit 2018
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!
