Building event-driven applications with Confluent Platform for Cloud Pak for Integration: Technical

When:  Apr 6, 2021 from 10:00 AM to 10:30 AM (ET)

Confluent enables organizations to shift their focus from worrying about how data is shuttled, shuffled, switched, and sorted between various systems to derive business value from their data. 

The Confluent Platform, developed by the original creators of Apache KafkaⓇ, is a foundational technology that makes it easy to build real-time data pipelines and streaming applications by integrating data from multiple sources and locations into a single, central Event Streaming Platform for your company.

Attend this webinar to learn:

  • Why event streaming is a critical piece of a multi-integration style strategy
  • How Confluent Platform for Cloud Pak for Integration can accelerate your ability to start developing event-driven applications with Apache Kafka.
  • How to create Apache Kafka topics in minutes and process event streams in real time
Kim Clark
Kim Clark
Integration Architect and Strategist

Kim is a technical strategist on IBMs integration portfolio working as an architect providing guidance to the offering management team on current trends and challenges.He has spent the last couple of decades working in the field implementing integration and process related solutions. He is one of the primary authors behind much of IBMs agile integration material ( and he writes and presents regularly on integration architecture and design topics.

Jeremy Hogan
Jeremy Hogan
Cloud Partner Solutions Architect

Jeremy Hogan is a Cloud Partner Solutions Architect at Confluent, focused on our partnership with IBM. He comes to Confluent most recently from Citigroup. In his role as a Vice President, he directed a team of cloud engineers and architects responsible for enabling Citigroup’s digital transformation from legacy systems, using event streaming on a daily basis. In addition, Jeremy has over 20 years of experience in enterprise open source technology at companies like Red Hat and VMware.