Join us for a Kafka talk with Tim Berglund and Servian

Join us for our next Apache Kafka® meetup on October 2nd from 5:45pm, hosted by Servian. The agenda, venue and speaker information can be found below. See you there!

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Agenda:
5:45pm: Doors open: Pizza & Drinks
6:15pm: Tim Berglund, Confluent
7:00pm: Jay Kim, Servian
7:45 - 8:30 - Drinks, Networking and additional Q&A

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Speaker:
Tim Berglund, Confluent

Bio:
Tim Berglund is a teacher, author, and technology leader with Confluent, where he serves as the Senior Director of Developer Experience. He can frequently be found at speaking at conferences in the United States and all over the world. He is the co-presenter of various O’Reilly training videos on topics ranging from Git to Distributed Systems, and is the author of Gradle Beyond the Basics. He tweets as @tlberglund, blogs very occasionally at http://timberglund.com (http://timberglund.com/), is the co-host of the http://devrelrad.io (http://devrelrad.io/) podcast, and lives in Littleton, CO, USA with the wife of his youth and their youngest child, the other two having mostly grown up.

Title:
Processing Streaming Data with KSQL

Abstract:
Apache Kafka is a de facto standard streaming data processing platform, being widely deployed as a messaging system, and having a robust data integration framework (Kafka Connect) and stream processing API (Kafka Streams) to meet the needs that common attend real-time message processing. But there’s more!

Kafka now offers KSQL, a declarative, SQL-like stream processing language that lets you define powerful stream-processing applications easily. What once took some moderately sophisticated Java code can now be done at the command line with a familiar and eminently approachable syntax. Come to this talk for an overview of KSQL with live coding on live streaming data.

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Speaker 2:
Jay Kim

Bio:
TBC

Title:
Debezium, an open source change data capture (CDC) platform.

Abstract:
Jay Kim will be speaking about Debezium, an open source change data capture (CDC) platform.
Change data capture refers to the process in which changes to a data set are identified for later consumption by consumer applications.
Most commonly seen in data warehousing environments, CDC is seeing increased relevance in the modern data landscape in the context of stream processing, serverless computing and scalability.
The presentation will cover a conceptual overview of the technology, a technical demonstration and potential business applications of Debezium.

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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.