Apache Flink is a next-generation open-source streaming processing framework. It implements actual stream processing and great support for cyclical and iterative processing. It has custom memory management, provides powerful windows operators and lightweight distributed snapshots. In this event we will explore: What is Lambda Architecture and how questioning the Lambda Architecture has led to its alternative Kappa Architecture? What are stream processing fundamentals and explore them with Flink and Confluent Kafka? How to implement stateful and custom operators common in stream processing applications
R&D Manager leading Back Office and CEP Engine teams and solutions in SBTech. 15 + years’ experience in software architecture, design and development, project management, business analysis, management and leadership. Currently very interested in event sourcing and real time distributed computing.
A Java developer with 9 years experience in researching, designing and developing software solutions. Passionate about optimization, distributed computing and parallel algorithms.
Take a look at some photos and vidoes from our previous events!