Free data flow for traveler information with Apache Kafka® streams

Details

Join us for an Apache Kafka meetup on May 8th from 6pm in Frankfurt. The address, agenda and speaker information can be found below. See you there!

6:00pm: Doors open

6:00pm - 6:30pm: Food, Drinks and Networking

6:30pm - 7:00pm: All Eyes on Stream Processing: An Overview to Kafka Streams & KSQL - Perry Krol, Confluent

7:00pm – 7:30pm: Pizza and drinks

7:30pm - 8:30pm: Free data flow for traveler information with Kafka Streams (from the business and technical perspectives) - Axel Löhn of Deutsche Bahn and Uwe Eisele of Novatec- Talk will be held in German

8:30pm - 9:00pm: Additional Q&A & Networking

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Second Talk:
Title: Free data flow for traveler information with Kafka Streams (from the business and technical perspectives) -- Talk will be held in German

Abstract:
Public transport is becoming more and more popular and is used by more and more people every day. As a result, the demands on the quality of traveler information are also increasing. In order to do justice to this, Deutsche Bahn has launched the "Traveler Information" project as part of its "Zukunft Bahnl" strategy. The aim is to provide travellers with reliable and consistent information across all information channels. Situations such as the display of different departure tracks in the DB Navigator and on the departure board for the same journey should be a thing of the past. In Saxony, this is already a reality for travellers. During the first pilot phase, we were able to successfully connect the stations to the new platform.
The platform was implemented on the basis of a streaming architecture in which the individual processing steps are implemented via microservices. This integrates movement and master data of all public transport in Germany from various sources and consolidates them in real time. The platform is based on Apache Kafka, which as a distributed streaming platform is an ideal solution for our requirements for real-time processing and reliability. Kafka is complemented by Kafka Streams, which we now use in almost all of our microservices for data processing. The entire platform is also operated by us productively in the AWS cloud. A particular challenge was the requirement not only to run the applications itself but also Apache Kafka in the cloud.
In this presentation we would like to share our experiences with you and show you how we use Apache Kafka and Kafka Streams in our project.

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Don't forget to join our Community Slack Team! https://launchpass.com/confluentcommunity

If you would like to speak or host our next event please let us know! community@confluent.io

NOTE: We are unable to cater for any attendees under the age of 18. Please do not sign up for this event if you are under 18.