Becoming Data Driven with Apache Kafka and Stream Processing ft. Daniel Jagielski

Becoming Data Driven with Apache Kafka and Stream Processing ft. Daniel Jagielski

When it comes to adopting event-driven architectures, a couple of key considerations often arise: the way that an asynchronous core interacts with external synchronous systems and the question of “how do I refactor my monolith into services?” Daniel Jagielski, a consultant working as a tech lead/dev manager at VirtusLab for Tesco, recounts how these very themes emerged in his work with European clients. Through observing organizations as they pivot toward becoming real time and event dr...

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