What is it like to bury "dinosaurs" (legacy systems) using Kafka in a traditional investment house?

Newton Investment Management as a traditional investment management house used to have its IT systems communicating with each other by connecting to a centralised database. This tightly coupled architecture makes software development and maintenance very painful and expensive, leaving Newton no much space for innovation. To break these tentacles and create a loosely coupled architecture, Newton is now in a major digital transformation: adapting Kafka as its main data integration layer and moving away from stored procedures and scheduling jobs to be more event-driven and data centric. In this session, we would like to share with you the experience and the challenges of replacing “dinosaurs” (legacy systems) with Kafka in a traditional investment house such as adapting standard data models, having data governance in place and monitoring.