Streaming applications - from basic to advance usage

Are you going?

67 people going


WorkLounge (Vaclavske Namesti)

Václavské náměstí 841/3 · Praha

How to find us

Location image of event venue


Join us for our first Prague Apache Kafka meetup on November 27th from 6:00pm hosted by Triviadata. The address, agenda and speaker information can be found below. See you there!


6:00pm: Doors open
6:00pm - 6:30pm: Pizza, Drinks and Networking
6:30pm - 7:15pm: Kai Waehner, Confluent
7:15pm - 7:25pm: Milos Molnar, Triviadata
7:25pm - 8:00pm - Additional Q&A & Networking

Kai Waehner

Kai Waehner works as Technology Evangelist at Confluent. Kai’s main area of expertise lies within the fields of Big Data Analytics, Machine Learning / Deep Learning, Messaging, Integration, Microservices, Stream Processing, Internet of Things and Blockchain. He is regular speaker at international conferences such as JavaOne, O’Reilly Software Architecture or ApacheCon, writes articles for professional journals, and shares his experiences with new technologies on his blog ( Contact and references: [masked] / @KaiWaehner /

Introduction to Apache Kafka as Event-Driven Open Source Streaming Platform

This session introduces Apache Kafka as event-driven open source streaming platform. Apache Kafka goes far beyond scalable, high volume messaging. In addition, you can leverage Kafka Connect for integration and the Kafka Streams API for building lightweight stream processing microservices in autonomous teams. The open source Confluent Platform adds further components such as a KSQL, Schema Registry, REST Proxy, Clients for different programming languages and Connectors for different technologies and databases.


Milos Molnar

Big Data Architect and CEO of Trivia Data. More than 20 years in IT. Last 5 years is focused on distributed systems and data processing within distributed systems like Apache Hadoop or Apache Kafka. Together with his team, Milos builds data application for batch focused cases (data-at-rest) as well as streaming application for processing data-on-move.

Data streaming in telco - practical use cases

How telco operators used Kafka and data streaming for improvement Quality of Services, customer's satisfaction or network planning.


Don't forget to join our Community Slack Team!

If you would like to speak or host our next event please let us know! [masked]

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.