Real-time customer engagement: 
Asia-Pacific Tour
Hosted by Ververica, Instaclustr & Factor House
 
                        
                    
                Why We Are Doing This
Modern businesses generate vast amounts of data every second, but the real advantage lies in transforming that data into meaningful, real-time customer engagement. In this hands-on workshop, you’ll see how Apache Kafka®, Apache Flink®, Postgres, and ClickHouse work together to power real-time customer engagement at scale. We’ll show you how to build streaming architectures that identify and engage high-value customers in real-time, from data ingestion to actionable insights.
What You’ll Learn
- How to combine streaming and analytics to drive smarter, targeted customer interactions, such as real-time promotions and personalised recommendations.
- How to use fully managed, open-source Apache technologies (Kafka, Flink, Postgres, ClickHouse) to create seamless streaming pipelines.
- How to build a modern local architecture that can power real-time use cases
- How to integrate Factor House’s Kpow platform to make Kafka and Flink more observable, accessible, and operationally efficient for your teams.
Technologies in Action
Who Should Attend
Engineers, architects, and technical decision-makers with an interest in streaming data, real-time analytics, or customer engagement systems.
Some prior exposure to Kafka, Flink, or related data technologies is helpful but not required. We’ll survey attendees beforehand to tailor the session to your experience level.
 
                        
                    
                 
                        
                    
                 
                        
                    
                
 
                          
                           
                          
                           
                          
                           
                          
                           
                          
                           
                          
                           
                          
                           
                          
                           
                          
                           
                          
                           
                          
                           
                          
                           
                          
                           
                          
                           
                          
                          