Join fellow developers, engineers, and data enthusiasts for a Real Time Analytics Meetup with Apache Kafka®, Apache Flink® and Apache Druid®.

Agenda
6:00pm-6:30pm
Welcome & Networking

6:30pm-7:00pm
Introduction to Apache Flink

Join us for an insightful session that introduces the Confluent Data Streaming Platform and provides an overview of Apache Flink. We’ll dive deep into the innovative concepts of Kappa Architecture, focusing on our “shift left” approach. Discover how moving processing earlier in the pipeline enhances logic reuse and minimizes duplication by leveraging Flink’s powerful processing capabilities. Whether you’re new to streaming data or looking to optimize your architecture, this session is designed to equip you with valuable insights and practical strategies.

Speaker: Rishi Doerga, Senior Solutions Engineer, Confluent
As a Senior Solutions Engineer at Confluent, Rishi helps customers design and implement scalable, reliable, and secure data streaming solutions using Apache Kafka and the Confluent platform. He has over 20 years of experience in software development, data integration, master data management, and big data technologies, working with leading vendors such as Informatica and IBM.

7:00pm-7:30pm
Introduction to Apache Druid

Have you ever wondered how a modern event analytics pipeline is different from a classical ETL setup? We are going to explain event analytics using Apache Druid, the real time OLAP engine. In a live demo, we show how to design and set up an analytics pipeline in just a few minutes, using Kafka for delivery and Druid for real time OLAP.

Speaker: Fabrice Wernimont, Principal Sales Engineer, Imply

7:30pm-8:00pm
Our journey to a Kappa Architecture – Leveraging Open Source Kafka, Flink and Druid to Deliver Real time analytics in the real world at Sage + Archer

Speaker: Edwin Metselaar, VP of Eng, Sage + Archer

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Speakers

Rishi Doerga
Senior Solutions Engineer
Confluent
Fabrice Wernimont
Principal Sales Engineer
Imply
Edwin Metselaar
VP of Engineering
Sage + Archer

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