Join us for our next Berlin Apache Kafka meetup on April 25th from 6:00pm hosted by Codecentric. We have two very special speakers who come all the way from the USA! The agenda, venue and speaker information can be found below. See you there!
6:00pm: Doors open
6:30pm - 7:15pm: KSQL -- Streaming SQL for Apache Kafka - Matthias J. Sax, Confluent
7:15 pm - 8:00pm: Stream All Things - Patterns of Modern Data Integration - Gwen Shapira, Confluent
8:00 - 8:30 - Pizza, Drinks, Networking and additional Q&A
Matthias J. Sax, Confluent
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.
KSQL -- Streaming SQL for Apache Kafka
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.
Gwen Shapira, Confluent
Gwen Shapira is a principal data architect at Confluent, where she helps customers achieve success with their Apache Kafka implementation. She has 15 years of experience working with code and customers to build scalable data architectures, integrating relational and big data technologies. Gwen currently specializes in building real-time reliable data-processing pipelines using Apache Kafka. Gwen is an Oracle Ace Director, the coauthor of Hadoop Application Architectures, and a frequent presenter at industry conferences. She is also a committer on Apache Kafka and Apache Sqoop. When Gwen isn’t coding or building data pipelines, you can find her pedaling her bike, exploring the roads and trails of California and beyond.
Stream All Things - Patterns of Modern Data Integration
80% of the time in every project is spent on data integration: Getting the data you want the way you want it. This problem remains challenging despite 40 years of attempts to solve it. We want a reliable, low latency system that can handle varied data from wide range of data management systems. We want a solution that is easy to manage and easy to scale. Is it too much to ask?
In this presentation, we’ll discuss the basic challenges of data integration and introduce design and architecture patterns that are used to tackle these challenges. We will explore how these patterns can be implemented using Apache Kafka and share pragmatic solutions that many engineering organizations used to build fast, scalable and manageable data pipelines.
Special thanks to Codecentric who are our local organisers for this event.
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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.
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