Join next Apache Kafka® meetup hosted by VirtusLab

We are happy to become a Partner and a host of the next Apache Kafka® meetup in Krakow on Wednesday, February 26th Kraków Apache Kafka® Meetup by Confluent focuses on the Apache Kafka® technology and its ecosystem, also allowing its members to interact and share their use cases, do and don’t, how to’s, etc. This […]

kafka meetup

We are happy to become a Partner and a host of the next Apache Kafka® meetup in Krakow on Wednesday, February 26th

Kraków Apache Kafka® Meetup by Confluent focuses on the Apache Kafka® technology and its ecosystem, also allowing its members to interact and share their use cases, do and don’t, how to’s, etc.

This time #VLteam is proudly represented by Łukasz Rybski with a talk on Overview of Kafka streams and tables. Łukasz is a Software Engineer at VirtusLab, a member of a team building security gateway and identity management platform. In his talk, Łukasz will present the building blocks of Apache Kafka: events, streams, and tables. He will explain how all elements fit together and what is happening under the hood.

But Łukasz is not the one and only star on the main stage that day.

Ladies and gents, please welcome: Robin Moffat 👏

Click here to see Robin’s invitation

Robin Moffatt, a Senior Developer Advocate @Confluent will provide us with an introduction to ksqlDB

You’ve got streams of data that you want to process and store? You’ve got events from which you’d like to derive state or build aggregates? And you want to do all of this in a scalable and fault-tolerant manner? It’s just as well that Kafka and ksqlDB exist!
This talk will be built around a live demonstration of the concepts and capabilities of ksqlDB. We’ll see how you can apply transformations to a stream of events from one Kafka topic to another. We’ll use ksqlDB connectors to bring in data from other systems and use this to join and enrich streams—and we’ll serve the results up directly to an application, without even needing an external data store.

Robin Moffat, Confluent

Fancy learning

  • How to process streams of events?
  • The semantics of streams and tables, and of push and pull queries?
  • How to use the ksqlDB API to get state directly from the materialised store?
  • What makes ksqlDB elastically scalable and fault-tolerant?

Join us on Wednesday, 26 February 2020! For more info check our Facebook event

Written by

Natalia Romanowska
Natalia Romanowska Feb 7, 2020