IRN-8852 Stream Processing Live Traffic Data with Kafka Streams | Devoxx

Stream Processing Live Traffic Data with Kafka Streams

Hands-on Labs

bigd Big Data, Machine Learning, AI & Analytics

In this workshop we will set up a streaming framework which will process realtime data of traffic sensors installed within the Belgian road system.

Starting with the intake of the data, you will learn best practices and the recommended approach to split the information into events in a way that won't come back to haunt you.

With some basic stream operations (count, filter, ... ) you will get to know the data and experience how easy it is to get things done with Spring Boot & Spring Cloud Stream.

But since simple data processing is not enough to fulfill all your streaming needs, we will also let you experience the power of windows. After this workshop, tumbling, sliding and session windows hold no more mysteries and you will be a true streaming wizard.

Tom Van den Bulck Tom Van den Bulck

Tom is a Senior Developer at Ordina Belgium, passionate about all software related to data. As competence leader Big & Fast Data he guides his fellow developers through dark data swamps by giving workshops and presentations. Tom is passionate about learning new technologies and frameworks.

Tim Ysewyn Tim Ysewyn

Tim is a Principal Consultant at Ordina, where he helps fellow developers discovering top-notch technologies and methodologies as a Competence Leader for API & Microservices. You can also find him working on various parts of the Spring and Spring Cloud framework or helping out at NG-BE.