Confluent and PAYBACK talk about Kafka, KSQL and Spark

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Join us for our next Munich Apache Kafka meetup on April 18th from 6:30pm hosted by inovex. We have two very special speakers and one of them even comes all the way from the USA! The agenda, venue and speaker information can be found below. See you there!

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Agenda:
6:30pm: Doors open
6:30pm - 7:15pm: That's the point: Lessons learned of operating a realworld Spark Streaming / Kafka application on Hadoop- Rostislaw Krassow, PAYBACK
7:15 pm - 8:00pm: - Matthias J. Sax, Confluent
8:00 - 8:45 - Pizza, Drinks, Networking and additional Q&A

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Speaker:
Rostislaw Krassow, PAYBACK

Bio:
Rostislaw Krassow works as big data engineer at PAYBACK. His responsibilities include design, implementation and operation of the Hadoop- and Kafka-based big data infrastructure.

Title:
That's the point: Lessons learned of operating a realworld Spark Streaming / Kafka application on Hadoop

Abstract:
As leading marketing platform PAYBACK must be able to provide every customer the individual offer at the right time. In order to process any business transaction or external event a new streaming based infrastructure was set up based on Kafka as data pipeline and Spark Streaming as processing layer. This presentation covers experience with Spark Streaming on YARN after year of productive usage. Especially non-functional aspects like security, resource allocation and isolation, high availability and scalability will be discussed.

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Speaker:
Matthias J. Sax, Confluent

Bio:
Matthias is an Apache Kafka committer working as a Software Engineer at Confluent. His main focus is Kafka’s Streams API and stream processing with KSQL. Prior to Confluent, he was a PhD student at Humboldt-University of Berlin, conducting research on data stream processing system. Matthias is also a committer at Apache Flink and Apache Storm.

Title:
KSQL -- Streaming SQL for Apache Kafka

Abstract:
This talk is about KSQL, an open source streaming SQL engine for Apache
Kafka. KSQL aims to make stream processing available to everybody
without the need to write Java or Scala code. Streaming SQL makes it
easy to get started with a wide-range of stream processing applications
such as real-time ETL, sessionization, monitoring and alerting, or fraud
detection. We will give a general introduction to KSQL covering its SQL
dialect, core concepts, and architecture including some technical
deep-dives how it works under the hood.

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Special thanks to inovex who are hosting us for this event.

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! [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.