How to Build a Data Mesh with Stream Governance | Join Webinar

Online Talk

Data in Motion Tour 2023 ANZ Livestream

Learn how Confluent helps you manage Apache Kafka® — without its complexity.

Available On-Demand

The business demands for real-time data have put Kafka and the teams who manage it into mission-critical roles. But real-time requirements are piling up too fast for teams to handle.

To move your business forward, you need to make Kafka work for you. Join Confluent for the opportunity to hear from customers, network with your peers and ecosystem partners, learn from Kafka experts, and roll up your sleeves with interactive demonstrations.

At this event, you will:

  • Hear from customers on how they are using the power of real-time data
  • Learn how to deploy and scale Kafka in minutes while reducing costs and operational complexities
  • Learn how to build data products faster with a complete suite of connectors and stream processing tools and connect your environments with data pipelines
  • Learn how to protect your most sensitive data and mission-critical workloads with built-in security, governance and resiliency guarantees


Time Topic
08:00 AM     Registration, Check-in, Network & Partner Expo
09:00 AM    
Welcome address and Confluent Keynote:
Reinventing Kafka in the Data Streaming Era
- Jun Rao, Co-founder, Confluent
09:30 AM    
Fireside Chat: The Future of Data Streaming
- Jun Rao, Co-founder, Confluent and
Kai Waehner, Field CTO, Confluent
10:15 AM    
Optus Customer Case Study
- Gayle Amara, Principal Architect - Living Network, Optus
10:45 AM     Break - Network & Partner Expo
11:15 AM    
Real-time fraud detection (Session + Demo)
- Stuart Ward, Director Financial Services APAC and
James Gollan, Enterprise Solutions Engineering ANZ, Confluent
11:45 AM    
A 100% Digital Bank: Using Real-time Data
to Enable a New Digital Banking Experience
- John Heaton, Chief Technology Officer, Alex Bank
12:15 AM    
Kmart ONEPASS. Smart Digital Receipts
- Duane Gomes, Principal Architect
- Enterprise Technology, Kmart Group
12:45 AM     Lunch - Network & Partner Expo
01:30 PM    
Building Modern Streaming Analytics with Confluent on AWS
- Matt Moore, Senior Manager, Technology Partnerships, AWS
02:00 PM    
Leveraging streaming data in real-time to
Build a Single View of Customer (SVOC)
- Diego Bayona, Principal Software Engineer, Service NSW
02:30 PM    
How to Build Real-Time Analytics Applications like
Netflix, Confluent, and Reddit
- Eric Tschetter, Field CTO, Imply
03:00 PM    
The Future of Application Development
(Introduction to Flink and Stream Processing)
- Kai Waehner, Field CTO, Confluent
03:30 PM     Event Concludes


Jun Rao

Co-founder of Confluent and Co-creator of Kafka

Jun Rao is the co-founder of Confluent, a company that provides a stream data platform on top of Apache Kafka. Before Confluent, Jun Rao was a senior staff engineer at LinkedIn where he led the development of Kafka. Before LinkedIn, Jun Rao was a researcher at IBM's Almaden research data center, where he conducted research on database and distributed systems. Jun Rao is the PMC chair of Apache Kafka and a committer of Apache Cassandra.

Kai Waehner

Global Field CTO, Confluent

Kai Waehner is working with Confluent customers across the world, internal teams, and industry analysts. Kai’s main area of expertise lies within the fields of big data analytics, machine learning, hybrid cloud architectures, event stream processing, and Internet of Things. He is a regular speaker at international conferences such as Devoxx, ApacheCon, and Kafka Summit, writes articles for professional journals, and shares his experiences with new technologies on his blog.

Duane Gomes

Principal Architect - Enterprise Technology

John Heaton

Chief Technology Officer

Diego Bayona

Principal Software Engineer

Additional Resources

cc demo
kafka microservices
Image-Event-Driven Microservices-01

Additional Resources

cc demo
kafka microservices