Tech Talks: Event stream processing using Kafka Streams

• 6:00-6:30 pm Event stream processing using Kafka Streams (part I)
• 6:30-6:45 pm Pizza time
• 6:45-7:15 pm Event stream processing using Kafka Streams (part II)
• 7:15-8:00 pm Networking & drinks

About the talk

In this talk, we’ll look at how we can use Kafka Streams to solve a variety of event stream processing problems. The examples are based on real-world usage from our stream processing platform in Schibsted, used to process over 800 million incoming events daily from users across the globe. We will cover topics ranging from the basics like filtering and transforming events, to how you can use Kafka Streams for data routing, aggregating events, and enriching and joining event streams.

About the speaker

Fredrik Vraalsen works as a software engineer in the Data Platform team of Schibsted Products & Technology. He writes Scala for a living, trying to wrangle the 800 million daily events from Schibsted users around the world. The last couple of months his focus has been on event stream processing, utilizing Kafka and Kafka Streams to route, filter, transform and enrich incoming events in order to help Schibsted build and improve their real-time data-driven products. Fredrik has held training courses in Scala, Java 8 and functional programming, and likes to speak at conferences.